CN106231623A - A kind of radiation monitoring system and its implementation - Google Patents

Abstract

A kind of radiation monitoring system and its implementation, system architecture is divided into 3 levels, and respectively sensing layer, data Layer and analysis management layer, carry out data exchange by network between each layer.The invention have the benefit that versatility and information promptness are the strongest.

Description

A kind of radiation monitoring system and its implementation

Technical field

The present invention relates to Radiation monitoring field, be specifically related to a kind of radiation monitoring system and its implementation.

Background technology

Existing radioactivity monitoring system is all based on the zonule monitoring system of dedicated network, between each subsystem mutually Isolate, data are the most general, communication modes is single, lack analysis ability, the embodiment when needs overall consideration nuclear emergency or strick precaution Do not go out to monitor the importance of system.

Quantum communications are important branch of quantum information science, and its theory is based on quantum mechanics and classical communication, i.e. The product that quantum communications are quantum mechanics and classical communication combines.Quantum communications throughput subchannel transmission information, and can Guarantee being perfectly safe of transmitted information.Technique on Quantum Communication is applied in environmental monitoring, production environment prison will be greatly improved Survey the safety of data transmission.

Summary of the invention

For solving the problems referred to above, it is desirable to provide a kind of radiation monitoring system and its implementation.

The purpose of the present invention realizes by the following technical solutions:

A kind of radiation monitoring system and its implementation, system architecture is divided into 3 levels, respectively sensing layer, data Layer With analysis management layer, between each layer, carry out data exchange by network.

The invention have the benefit that versatility and information promptness are the strongest.

Accompanying drawing explanation

The invention will be further described to utilize accompanying drawing, but the embodiment in accompanying drawing does not constitute any limit to the present invention System, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain according to the following drawings Other accompanying drawing.

Fig. 1 present configuration schematic diagram；

Fig. 2 is the schematic flow sheet of monitoring method of the present invention.

Detailed description of the invention

In conjunction with following application scenarios, the invention will be further described.

Application scenarios 1

See Fig. 1, Fig. 2, a kind of radiation monitoring system of an embodiment of this application scene and its implementation, system Framework is divided into 3 levels, and respectively sensing layer, data Layer and analysis management layer, carry out data friendship by network between each layer Change.

Preferably, sensing layer mainly includes portable radiant detection equipment and stationary radiation detection equipment, passes through network Form can by measure radiation data and equipment itself positional information transmission to data Layer.

Originally it is preferable to carry out achieving the accurate measurements of data.

Preferably, data Layer carries out data storage by physical store and cloud storage two ways, and backups each other, and can carry For data-query interfaces.

This preferred embodiment ensure that data safety.

The implementation method of a kind of Radiation monitoring of one embodiment of this application scene, comprises the following steps:

S1 builds the wireless sensor monitoring network for monitoring, and the quantum communications net for Monitoring Data transmission Network；

S2 utilizes wireless sensor monitoring network to monitor and gathers Monitoring Data, and by Monitoring Data by quantum communication network Network transmits to pretreatment node；

S3 pretreatment node carries out data calibration according to the type of Monitoring Data and merges pretreatment, pretreated monitoring The sub-communication network transmission of data throughput is to cloud service center；

S4 cloud service center by the Monitoring Data received and pre-set with this Monitoring Data corresponding to threshold is set Value compares, if described Monitoring Data arranges threshold value, then by described Monitoring Data and result of the comparison beyond corresponding Send to the mobile management terminal preset.

The above embodiment of the present invention constructs the module architectures of monitoring system and the monitoring flow process of environment, it is achieved that environment Monitoring.

Preferably, the structure of described wireless sensor monitoring network includes the deployment of sensor node and sensor node Location, the method for the deployment of described sensor node includes:

(1) carry out network to dispose for the first time, if the monitoring radius of sensor node and communication radius are r, by monitoring section Territory is divided into emphasis monitored area and general monitored area, and emphasis monitored area is divided into square net, sensor node portion It is deployed on square net center, the square net length of sideGeneral monitored area is divided into regular hexagonal cell, sensing Device node deployment in regular hexagon center, the regular hexagon length of side

(2) carry out network second time to dispose, sensor network is disposed the functional node that a part of communication capacity is strong, if The communication radius of functional node is 4r, emphasis monitored area and in general monitored area respectively according to the method in (1) to merit Can dispose by node.

This preferred embodiment deployment to sensor network, it is achieved that the seamless coverage of monitored area, it is ensured that Quan Mianjian Survey, use in key area square net to dispose, use regular hexagonal cell to dispose in general detection region, both saved biography Sensor quantity, in turn ensure that monitoring effect；Increase functional node, extend whole sensor network life, it is to avoid sensor Node premature depletion.

Preferably, the method for the location of described sensor node includes:

1) the intensity instruction receiving signal and the reference mode of each reference mode received are sat by unknown sensor node Mark is sent to host computer；

2) host computer carries out pretreatment to the strength indicator value receiving signal received, including: by self-defining choosing Take rule and choose the strength indicator value receiving signal of high probability generating region, the strength indicator value receiving signal asking for choosing Meansigma methods is as the final strength indicator value receiving signal；Described self-defining selection rule is:

When the strength indicator value receiving signal of the reference mode that unknown sensor node receives meets following condition, really This strength indicator value fixed is the strength indicator value receiving signal of high probability generating region:

$T_L\≤\frac{1}{\mathrm{\ϵ}\sqrt{2\mathrm{\π}}}{e}^{-\frac{x-\mathrm{\γ}}{2{\mathrm{\ϵ}}^2}}\≤1$

Wherein

$\mathrm{\ϵ}=\sqrt{\frac{{\mathrm{\Σ}}_{i=1}^N{({\mathrm{RSSI}}_i-\mathrm{\γ})}^2}{N-1}}$

$\mathrm{\γ}=\frac{{\mathrm{\Σ}}_{i=1}^N{\mathrm{RSSI}}_i}{N}$

In formula, RSSI_iThe intensity instruction receiving signal of each reference mode i & lt is received for unknown sensor node Value, i ∈ [1, N], T_LFor the marginal value set, T_LSpan be [0.4,0.6]；

3) distance of unknown sensor node distance reference node is calculated；

4) coordinate of unknown sensor node is calculated, if the coordinate of k reference mode is respectively (x₁,y₁),(x₂, y₂),…,(x_k,y_k), the distance of unknown sensor node to reference mode is respectively d₁,d₂,…,d_k, unknown sensor node X Coordinate computing formula be:

X=(α^Tα)^-1α^Tβ

Wherein

$\mathrm{\α}=\left[\begin{array}{cc}2(x_1-x_k)& 2(y_1-y_k)\\ 2(x_2-x_k)& 2(y_2-y_k)\\ ...& ...\\ 2(x_{k-1}-x_k)& 2(y_{k-1}-y_k)\end{array}\right]$

$\mathrm{\β}=\left[\begin{array}{c}{x_1}^2-{x_k}^2+{y_1}^2-{y_k}^2+{d_k}^2-{d_1}^2\\ {x_2}^2-{x_k}^2+{y_2}^2-{y_k}^2+{d_k}^2-{d_2}^2\\ \mathrm{...}\\ {x_{k-1}}^2-{x_k}^2+{y_{k-1}}^2-{y_k}^2+{d_k}^2-{d_{m-1}}^2\end{array}\right]$

This preferred embodiment devises the method for the location of sensor node, improves the positioning precision of sensor node, Thus relatively improve the precision of monitoring.

Preferably, the structure of described quantum communication network includes setting up quantum channel, determining quantum key distribution scheme；Institute State and set up quantum channel, comprise the following steps:

(1) setting up the statement model of quantum channel, definition input quantum bit finite aggregate is I={ | i₁〉,|i₂〉,…,| i_N＞ }, the finite aggregate of output quantum bit is O={ | o₁>,|o>,…,|o_N＞ } quantum channel C be: will | i ＞ ∈ I sends into letter Road, the output of channel is the output in the quantum information source determined completely by density operator ρ (| i ＞)；

(2) quantum state is in the transmitting procedure of quantum channel, associates with channel, and completely or partially sends out at receiving terminal Raw change, becomes new state, and associate with quantum state in channel has non-ideal equipment and noise, need to carry out excellent to channel Change, including:

Signaling channel matrix is X, and noise is Z, then accept state J_kFor:

J_k=(X+Z) T_k, (k=1,2 ..., n)

In formula, T_kRepresenting the state matrix under same measurement base, each column element representation one sends state；

Use coefficient R₁、R₂Represent the correlation circumstance of non-ideal equipment and noise and quantum state respectively, pass through wave equation Theoretical and Thermodynamics Formulas models, and draws the concrete channel model meeting different channels situation；

Described quantum key distribution scheme agreement based on BB84 determines, comprises the following steps:

(1) through laser instrument, optical mixer, attenuator and phase-modulator, transmitting terminal generates single photon pulses, with quantum The address code that polarization state polarization angle transmits as information, transmitting terminal polarization state angle random takes 0,Each monochromatic light Before subpulse sends, transmitting terminal is to receiving terminal tranmitting data register signal.The polarization state phase place of each single photon pulses is entered by transmitting terminal Row coding, transmitting terminal phase placeTake 0 and π and form one group of orthogonal normalizing base, receiving terminal phase placeTake 0 matched, transmitting terminal phase Position takesWithForming another and organize orthogonal normalizing base, receiving terminal phase place takesMatched；

(2) receiving terminal is through phase-modulator, Polarization Controller, beam splitter, half-wave plate, polarization beam apparatus and single photon Detector receives light list pulse, according to clock pulse signal, measures receiving quantum state, first passes through two groups of differences Detector readings under base draws address code value, then releases phase information, carries out phase place by classical channel with transmitting terminal afterwards And polarization base comparison；

(3) receiving terminal screening metrical information, abandons wrong polarization and measures the information that draws of base and wrong phase is measured base and obtained The information gone out, draws initial key respectively.

(4) receiving terminal carries out umber of pulse comparison to the measurement base counting after screening, if the survey of the correct result obtained Amount main pulse number less than safe umber of pulse threshold value, then shows to there is eavesdropping, now, abandons this key agreement, re-start Step (1) arrives (4), if the measurement main pulse number of correct result that obtains of receiving terminal is more than or equal to threshold value, and transmitting terminal and connecing Receiving end carries out data harmonization by classical channel and close property is amplified, thus obtains final key；

Wherein, safe pulse gate limit value is adopted and is determined with the following method,

During without eavesdropping, receiving terminal obtains the accuracy of quantum bit

In formula, P_rRepresent that correct selection accurately receives quantum probability of state, P when measuring base_wRepresent when base is measured in wrong choice Accurately receive quantum probability of state；

When there is eavesdropping, secure communication thresholdingSafety door is determined according to channel situation Limit, when receiving terminal obtains correct quantum bit probabilities less than P_mTime, there is eavesdropping.

This preferred embodiment is due to the imperfection of communication equipment, and there is noise in channel, and quantum information is in transmission During can change, by set up actual channel receiving terminal is differentiated the standard of communication process whether safety is more as the criterion Really；Polarizing quantum state has metastable inherent character and ga s safety degree, effectively can enter in multi-user quantum communication The differentiation of row user；Secure Threshold in channel model is analyzed, is pushed away the peace differentiating eavesdropping in actual quantum communications Air cock limit formula.

Preferably, described wireless sensor monitoring network includes gateway, high energy leader cluster node, terminal node, described high energy Leader cluster node is responsible for effective collection of Monitoring Data, and described gateway will collect information and store in embedded database, is needing When wanting, Monitoring Data is passed through quantum communication network transmission to cloud service center；Described high energy leader cluster node is by leader cluster node, too Sun energy cell panel, accumulator, power amplifier and multiple monitoring sensor composition, the energy of described leader cluster node is by solar-electricity Pond plate and accumulator combine and provide.

The energy of the leader cluster node that this preferred embodiment is arranged is combined by solar panel and accumulator and provides, it is possible to protect The energy of card leader cluster node provides, and saving electric consumption reduces monitoring cost.

Preferably, the described type according to Monitoring Data carries out data calibration and merges pretreatment, including:

(1) Monitoring Data of each sensor is calibrated by BP neutral net, reject the data of mistake simultaneously, obtain Obtain data more accurately；Described calibrated by BP neutral net, including:

1) BP neutral net is built, using the monitor value of sensor as the input layer of BP neutral net, with reference instrument Measured value is as the output layer of BP neutral net；

2) BP neural metwork training is carried out, particularly as follows: by the monitor value of sensor from hidden through BP neutral net of input layer Being transmitted to output layer containing layer, if not obtaining desired output valve at output layer, then along former path, error being returned, and according to by mistake Difference function, uses weights and the threshold value of gradient descent method correction each layer neuron, so that error is minimum, is finally reached expectation effect Really, described error function is defined as:

$D=\frac{1}{2}\underset{j}{\Σ}{\mathrm{\Σ}}_m(\widehat{Y_m}-Y_m)$

$Y_m=\underset{j}{\Σ}\frac{w_{mj}}{1+\exp (-{\mathrm{\Σ}}_i{w}_{ij}{x}_i+T_i)}+T_m$

In formula, w_ijFor the connection weights of previous output layer to hidden layer, x_iFor the output valve of previous output layer, T_iIt is implicit The threshold value of layer, w_mjFor the connection weights of hidden layer to a rear output layer, T_mThreshold value for a rear output layer；

(2) by adaptive weight fusion estimated algorithm, the Monitoring Data of multiple sensors is merged, particularly as follows: according to respectively The monitor value of sensor, finds the optimal weighted factor that each sensor is corresponding in an adaptive way, is meeting total mean square error In the case of difference minimum so that the result after fusion reaches optimum.

The pretreatment node of this preferred embodiment carries out data calibration according to the type of Monitoring Data and merges pretreatment, solves Determine the nonlinearity erron of general sensor measurement, made Monitoring Data more accurately and reliable.

In this application scenarios, set T_LValue be 0.4, the precision of sensor node localization improves 8%, monitoring accuracy Improve 10%.

Application scenarios 2

See Fig. 1, Fig. 2, a kind of radiation monitoring system of an embodiment of this application scene and its implementation, system Framework is divided into 3 levels, and respectively sensing layer, data Layer and analysis management layer, carry out data friendship by network between each layer Change.

Preferably, sensing layer mainly includes portable radiant detection equipment and stationary radiation detection equipment, passes through network Form can by measure radiation data and equipment itself positional information transmission to data Layer.

Originally it is preferable to carry out achieving the accurate measurements of data.

Preferably, data Layer carries out data storage by physical store and cloud storage two ways, and backups each other, and can carry For data-query interfaces.

This preferred embodiment ensure that data safety.

The implementation method of a kind of Radiation monitoring of one embodiment of this application scene, comprises the following steps:

S1 builds the wireless sensor monitoring network for monitoring, and the quantum communications net for Monitoring Data transmission Network；

S2 utilizes wireless sensor monitoring network to monitor and gathers Monitoring Data, and by Monitoring Data by quantum communication network Network transmits to pretreatment node；

S3 pretreatment node carries out data calibration according to the type of Monitoring Data and merges pretreatment, pretreated monitoring The sub-communication network transmission of data throughput is to cloud service center；

S4 cloud service center by the Monitoring Data received and pre-set with this Monitoring Data corresponding to threshold is set Value compares, if described Monitoring Data arranges threshold value, then by described Monitoring Data and result of the comparison beyond corresponding Send to the mobile management terminal preset.

The above embodiment of the present invention constructs the module architectures of monitoring system and the monitoring flow process of environment, it is achieved that environment Monitoring.

Preferably, the structure of described wireless sensor monitoring network includes the deployment of sensor node and sensor node Location, the method for the deployment of described sensor node includes:

(1) carry out network to dispose for the first time, if the monitoring radius of sensor node and communication radius are r, by monitoring section Territory is divided into emphasis monitored area and general monitored area, and emphasis monitored area is divided into square net, sensor node portion It is deployed on square net center, the square net length of sideGeneral monitored area is divided into regular hexagonal cell, sensing Device node deployment in regular hexagon center, the regular hexagon length of side

(2) carry out network second time to dispose, sensor network is disposed the functional node that a part of communication capacity is strong, if The communication radius of functional node is 4r, emphasis monitored area and in general monitored area respectively according to the method in (1) to merit Can dispose by node.

This preferred embodiment deployment to sensor network, it is achieved that the seamless coverage of monitored area, it is ensured that Quan Mianjian Survey, use in key area square net to dispose, use regular hexagonal cell to dispose in general detection region, both saved biography Sensor quantity, in turn ensure that monitoring effect；Increase functional node, extend whole sensor network life, it is to avoid sensor Node premature depletion.

Preferably, the method for the location of described sensor node includes:

1) the intensity instruction receiving signal and the reference mode of each reference mode received are sat by unknown sensor node Mark is sent to host computer；

2) host computer carries out pretreatment to the strength indicator value receiving signal received, including: by self-defining choosing Take rule and choose the strength indicator value receiving signal of high probability generating region, the strength indicator value receiving signal asking for choosing Meansigma methods is as the final strength indicator value receiving signal；Described self-defining selection rule is:

When the strength indicator value receiving signal of the reference mode that unknown sensor node receives meets following condition, really This strength indicator value fixed is the strength indicator value receiving signal of high probability generating region:

$T_L\≤\frac{1}{\mathrm{\ϵ}\sqrt{2\mathrm{\π}}}{e}^{-\frac{x-\mathrm{\γ}}{2{\mathrm{\ϵ}}^2}}\≤1$

Wherein

$\mathrm{\ϵ}=\sqrt{\frac{{\mathrm{\Σ}}_{i=1}^N{({\mathrm{RSSI}}_i-\mathrm{\γ})}^2}{N-1}}$

$\mathrm{\γ}=\frac{{\mathrm{\Σ}}_{i=1}^N{\mathrm{RSSI}}_i}{N}$

In formula, RSSI_iThe intensity instruction receiving signal of each reference mode i & lt is received for unknown sensor node Value, i ∈ [1, N], T_LFor the marginal value set, T_LSpan be [0.4,0.6]；

3) distance of unknown sensor node distance reference node is calculated；

4) coordinate of unknown sensor node is calculated, if the coordinate of k reference mode is respectively (x₁,y₁),(x₂, y₂),…,(x_k,y_k), the distance of unknown sensor node to reference mode is respectively d₁,d₂,…,d_k, unknown sensor node X Coordinate computing formula be:

X=(α^Tα)^-1α^Tβ

Wherein

$\mathrm{\α}=\left[\begin{array}{cc}2(x_1-x_k)& 2(y_1-y_k)\\ 2(x_2-x_k)& 2(y_2-y_k)\\ ...& ...\\ 2(x_{k-1}-x_k)& 2(y_{k-1}-y_k)\end{array}\right]$

$\mathrm{\β}=\left[\begin{array}{c}{x_1}^2-{x_k}^2+{y_1}^2-{y_k}^2+{d_k}^2-{d_1}^2\\ {x_2}^2-{x_k}^2+{y_2}^2-{y_k}^2+{d_k}^2-{d_2}^2\\ \mathrm{...}\\ {x_{k-1}}^2-{x_k}^2+{y_{k-1}}^2-{y_k}^2+{d_k}^2-{d_{m-1}}^2\end{array}\right]$

This preferred embodiment devises the method for the location of sensor node, improves the positioning precision of sensor node, Thus relatively improve the precision of monitoring.

Preferably, the structure of described quantum communication network includes setting up quantum channel, determining quantum key distribution scheme；Institute State and set up quantum channel, comprise the following steps:

(1) setting up the statement model of quantum channel, definition input quantum bit finite aggregate is I={ | i₁>,|i₂>,…,| i_N>, the finite aggregate of output quantum bit is O={ | o₁>,|o>,…,|o_N> quantum channel C be: will | i > ∈ I sends into letter Road, the output of channel is the output in the quantum information source determined completely by density operator ρ (| i >)；

(2) quantum state is in the transmitting procedure of quantum channel, associates with channel, and completely or partially sends out at receiving terminal Raw change, becomes new state, and associate with quantum state in channel has non-ideal equipment and noise, need to carry out excellent to channel Change, including:

Signaling channel matrix is X, and noise is Z, then accept state J_kFor:

J_k=(X+Z) T_k, (k=1,2 ..., n)

In formula, T_kRepresenting the state matrix under same measurement base, each column element representation one sends state；

Use coefficient R₁、R₂Represent the correlation circumstance of non-ideal equipment and noise and quantum state respectively, pass through wave equation Theoretical and Thermodynamics Formulas models, and draws the concrete channel model meeting different channels situation；

Described quantum key distribution scheme agreement based on BB84 determines, comprises the following steps:

(1) through laser instrument, optical mixer, attenuator and phase-modulator, transmitting terminal generates single photon pulses, with quantum The address code that polarization state polarization angle transmits as information, transmitting terminal polarization state angle random takes 0,Each monochromatic light Before subpulse sends, transmitting terminal is to receiving terminal tranmitting data register signal.The polarization state phase place of each single photon pulses is entered by transmitting terminal Row coding, transmitting terminal phase placeTake 0 and π and form one group of orthogonal normalizing base, receiving terminal phase placeTake 0 matched, transmitting terminal phase Position takesWithForming another and organize orthogonal normalizing base, receiving terminal phase place takesMatched；

(2) receiving terminal is through phase-modulator, Polarization Controller, beam splitter, half-wave plate, polarization beam apparatus and single photon Detector receives light list pulse, according to clock pulse signal, measures receiving quantum state, first passes through two groups of differences Detector readings under base draws address code value, then releases phase information, carries out phase place by classical channel with transmitting terminal afterwards And polarization base comparison；

(3) receiving terminal screening metrical information, abandons wrong polarization and measures the information that draws of base and wrong phase is measured base and obtained The information gone out, draws initial key respectively.

(4) receiving terminal carries out umber of pulse comparison to the measurement base counting after screening, if the survey of the correct result obtained Amount main pulse number less than safe umber of pulse threshold value, then shows to there is eavesdropping, now, abandons this key agreement, re-start Step (1) arrives (4), if the measurement main pulse number of correct result that obtains of receiving terminal is more than or equal to threshold value, and transmitting terminal and connecing Receiving end carries out data harmonization by classical channel and close property is amplified, thus obtains final key；

Wherein, safe pulse gate limit value is adopted and is determined with the following method,

During without eavesdropping, receiving terminal obtains the accuracy of quantum bit

In formula, P_rRepresent that correct selection accurately receives quantum probability of state, P when measuring base_wRepresent when base is measured in wrong choice Accurately receive quantum probability of state；

When there is eavesdropping, secure communication thresholdingSafety door is determined according to channel situation Limit, when receiving terminal obtains correct quantum bit probabilities less than P_mTime, there is eavesdropping.

This preferred embodiment is due to the imperfection of communication equipment, and there is noise in channel, and quantum information is in transmission During can change, by set up actual channel receiving terminal is differentiated the standard of communication process whether safety is more as the criterion Really；Polarizing quantum state has metastable inherent character and ga s safety degree, effectively can enter in multi-user quantum communication The differentiation of row user；Secure Threshold in channel model is analyzed, is pushed away the peace differentiating eavesdropping in actual quantum communications Air cock limit formula.

Preferably, described wireless sensor monitoring network includes gateway, high energy leader cluster node, terminal node, described high energy Leader cluster node is responsible for effective collection of Monitoring Data, and described gateway will collect information and store in embedded database, is needing When wanting, Monitoring Data is passed through quantum communication network transmission to cloud service center；Described high energy leader cluster node is by leader cluster node, too Sun energy cell panel, accumulator, power amplifier and multiple monitoring sensor composition, the energy of described leader cluster node is by solar-electricity Pond plate and accumulator combine and provide.

The energy of the leader cluster node that this preferred embodiment is arranged is combined by solar panel and accumulator and provides, it is possible to protect The energy of card leader cluster node provides, and saving electric consumption reduces monitoring cost.

Preferably, the described type according to Monitoring Data carries out data calibration and merges pretreatment, including:

(1) Monitoring Data of each sensor is calibrated by BP neutral net, reject the data of mistake simultaneously, obtain Obtain data more accurately；Described calibrated by BP neutral net, including:

1) BP neutral net is built, using the monitor value of sensor as the input layer of BP neutral net, with reference instrument Measured value is as the output layer of BP neutral net；

2) BP neural metwork training is carried out, particularly as follows: by the monitor value of sensor from hidden through BP neutral net of input layer Being transmitted to output layer containing layer, if not obtaining desired output valve at output layer, then along former path, error being returned, and according to by mistake Difference function, uses weights and the threshold value of gradient descent method correction each layer neuron, so that error is minimum, is finally reached expectation effect Really, described error function is defined as:

$D=\frac{1}{2}\underset{j}{\Σ}{\mathrm{\Σ}}_m(\widehat{Y_m}-Y_m)$

$Y_m=\underset{j}{\Σ}\frac{w_{mj}}{1+\exp (-{\mathrm{\Σ}}_i{w}_{ij}{x}_i+T_i)}+T_m$

In formula, w_ijFor the connection weights of previous output layer to hidden layer, x_iFor the output valve of previous output layer, T_iIt is implicit The threshold value of layer, w_mjFor the connection weights of hidden layer to a rear output layer, T_mThreshold value for a rear output layer；

(2) by adaptive weight fusion estimated algorithm, the Monitoring Data of multiple sensors is merged, particularly as follows: according to respectively The monitor value of sensor, finds the optimal weighted factor that each sensor is corresponding in an adaptive way, is meeting total mean square error In the case of difference minimum so that the result after fusion reaches optimum.

The pretreatment node of this preferred embodiment carries out data calibration according to the type of Monitoring Data and merges pretreatment, solves Determine the nonlinearity erron of general sensor measurement, made Monitoring Data more accurately and reliable.

In this application scenarios, set T_LValue be 0.45, the precision of sensor node localization improves 9%, monitoring essence Degree improves 11%.

Application scenarios 3

See Fig. 1, Fig. 2, a kind of radiation monitoring system of an embodiment of this application scene and its implementation, system Framework is divided into 3 levels, and respectively sensing layer, data Layer and analysis management layer, carry out data friendship by network between each layer Change.

Preferably, sensing layer mainly includes portable radiant detection equipment and stationary radiation detection equipment, passes through network Form can by measure radiation data and equipment itself positional information transmission to data Layer.

Originally it is preferable to carry out achieving the accurate measurements of data.

Preferably, data Layer carries out data storage by physical store and cloud storage two ways, and backups each other, and can carry For data-query interfaces.

This preferred embodiment ensure that data safety.

The implementation method of a kind of Radiation monitoring of one embodiment of this application scene, comprises the following steps:

S1 builds the wireless sensor monitoring network for monitoring, and the quantum communications net for Monitoring Data transmission Network；

S2 utilizes wireless sensor monitoring network to monitor and gathers Monitoring Data, and by Monitoring Data by quantum communication network Network transmits to pretreatment node；

S3 pretreatment node carries out data calibration according to the type of Monitoring Data and merges pretreatment, pretreated monitoring The sub-communication network transmission of data throughput is to cloud service center；

S4 cloud service center by the Monitoring Data received and pre-set with this Monitoring Data corresponding to threshold is set Value compares, if described Monitoring Data arranges threshold value, then by described Monitoring Data and result of the comparison beyond corresponding Send to the mobile management terminal preset.

The above embodiment of the present invention constructs the module architectures of monitoring system and the monitoring flow process of environment, it is achieved that environment Monitoring.

Preferably, the structure of described wireless sensor monitoring network includes the deployment of sensor node and sensor node Location, the method for the deployment of described sensor node includes:

(1) carry out network to dispose for the first time, if the monitoring radius of sensor node and communication radius are r, by monitoring section Territory is divided into emphasis monitored area and general monitored area, and emphasis monitored area is divided into square net, sensor node portion It is deployed on square net center, the square net length of sideGeneral monitored area is divided into regular hexagonal cell, sensing Device node deployment in regular hexagon center, the regular hexagon length of side

(2) carry out network second time to dispose, sensor network is disposed the functional node that a part of communication capacity is strong, if The communication radius of functional node is 4r, emphasis monitored area and in general monitored area respectively according to the method in (1) to merit Can dispose by node.

This preferred embodiment deployment to sensor network, it is achieved that the seamless coverage of monitored area, it is ensured that Quan Mianjian Survey, use in key area square net to dispose, use regular hexagonal cell to dispose in general detection region, both saved biography Sensor quantity, in turn ensure that monitoring effect；Increase functional node, extend whole sensor network life, it is to avoid sensor Node premature depletion.

Preferably, the method for the location of described sensor node includes:

1) the intensity instruction receiving signal and the reference mode of each reference mode received are sat by unknown sensor node Mark is sent to host computer；

2) host computer carries out pretreatment to the strength indicator value receiving signal received, including: by self-defining choosing Take rule and choose the strength indicator value receiving signal of high probability generating region, the strength indicator value receiving signal asking for choosing Meansigma methods is as the final strength indicator value receiving signal；Described self-defining selection rule is:

When the strength indicator value receiving signal of the reference mode that unknown sensor node receives meets following condition, really This strength indicator value fixed is the strength indicator value receiving signal of high probability generating region:

$T_L\≤\frac{1}{\mathrm{\ϵ}\sqrt{2\mathrm{\π}}}{e}^{-\frac{x-\mathrm{\γ}}{2{\mathrm{\ϵ}}^2}}\≤1$

Wherein

$\mathrm{\ϵ}=\sqrt{\frac{{\mathrm{\Σ}}_{i=1}^N{({\mathrm{RSSI}}_i-\mathrm{\γ})}^2}{N-1}}$

$\mathrm{\γ}=\frac{{\mathrm{\Σ}}_{i=1}^N{\mathrm{RSSI}}_i}{N}$

In formula, RSSI_iThe intensity instruction receiving signal of each reference mode i & lt is received for unknown sensor node Value, i ∈ [1, N], T_LFor the marginal value set, T_LSpan be [0.4,0.6]；

3) distance of unknown sensor node distance reference node is calculated；

4) coordinate of unknown sensor node is calculated, if the coordinate of k reference mode is respectively (x₁,y₁),(x₂, y₂),…,(x_k,y_k), the distance of unknown sensor node to reference mode is respectively d₁,d₂,…,d_k, unknown sensor node X Coordinate computing formula be:

X=(α^Tα)^-1α^Tβ

Wherein

$\mathrm{\α}=\left[\begin{array}{cc}2(x_1-x_k)& 2(y_1-y_k)\\ 2(x_2-x_k)& 2(y_2-y_k)\\ ...& ...\\ 2(x_{k-1}-x_k)& 2(y_{k-1}-y_k)\end{array}\right]$

$\mathrm{\β}=\left[\begin{array}{c}{x_1}^2-{x_k}^2+{y_1}^2-{y_k}^2+{d_k}^2-{d_1}^2\\ {x_2}^2-{x_k}^2+{y_2}^2-{y_k}^2+{d_k}^2-{d_2}^2\\ \mathrm{...}\\ {x_{k-1}}^2-{x_k}^2+{y_{k-1}}^2-{y_k}^2+{d_k}^2-{d_{m-1}}^2\end{array}\right]$

This preferred embodiment devises the method for the location of sensor node, improves the positioning precision of sensor node, Thus relatively improve the precision of monitoring.

Preferably, the structure of described quantum communication network includes setting up quantum channel, determining quantum key distribution scheme；Institute State and set up quantum channel, comprise the following steps:

(1) setting up the statement model of quantum channel, definition input quantum bit finite aggregate is I={ | i₁>,|i₂>,…,| i_N>, the finite aggregate of output quantum bit is O={ | o₁>,|o>,…,|o_N> quantum channel C be: will | i > ∈ I sends into letter Road, the output of channel is the output in the quantum information source determined completely by density operator ρ (| i >)；

(2) quantum state is in the transmitting procedure of quantum channel, associates with channel, and completely or partially sends out at receiving terminal Raw change, becomes new state, and associate with quantum state in channel has non-ideal equipment and noise, need to carry out excellent to channel Change, including:

Signaling channel matrix is X, and noise is Z, then accept state J_kFor:

J_k=(X+Z) T_k, (k=1,2 ..., n)

In formula, T_kRepresenting the state matrix under same measurement base, each column element representation one sends state；

Use coefficient R₁、R₂Represent the correlation circumstance of non-ideal equipment and noise and quantum state respectively, pass through wave equation Theoretical and Thermodynamics Formulas models, and draws the concrete channel model meeting different channels situation；

Described quantum key distribution scheme agreement based on BB84 determines, comprises the following steps:

(1) through laser instrument, optical mixer, attenuator and phase-modulator, transmitting terminal generates single photon pulses, with quantum The address code that polarization state polarization angle transmits as information, transmitting terminal polarization state angle random takes 0,Each monochromatic light Before subpulse sends, transmitting terminal is to receiving terminal tranmitting data register signal.The polarization state phase place of each single photon pulses is entered by transmitting terminal Row coding, transmitting terminal phase placeTake 0 and π and form one group of orthogonal normalizing base, receiving terminal phase placeTake 0 matched, transmitting terminal phase Position takesWithForming another and organize orthogonal normalizing base, receiving terminal phase place takesMatched；

(2) receiving terminal is through phase-modulator, Polarization Controller, beam splitter, half-wave plate, polarization beam apparatus and single photon Detector receives light list pulse, according to clock pulse signal, measures receiving quantum state, first passes through two groups of differences Detector readings under base draws address code value, then releases phase information, carries out phase place by classical channel with transmitting terminal afterwards And polarization base comparison；

(3) receiving terminal screening metrical information, abandons wrong polarization and measures the information that draws of base and wrong phase is measured base and obtained The information gone out, draws initial key respectively.

(4) receiving terminal carries out umber of pulse comparison to the measurement base counting after screening, if the survey of the correct result obtained Amount main pulse number less than safe umber of pulse threshold value, then shows to there is eavesdropping, now, abandons this key agreement, re-start Step (1) arrives (4), if the measurement main pulse number of correct result that obtains of receiving terminal is more than or equal to threshold value, and transmitting terminal and connecing Receiving end carries out data harmonization by classical channel and close property is amplified, thus obtains final key；

Wherein, safe pulse gate limit value is adopted and is determined with the following method,

During without eavesdropping, receiving terminal obtains the accuracy of quantum bit

In formula, P_rRepresent that correct selection accurately receives quantum probability of state, P when measuring base_wRepresent when base is measured in wrong choice Accurately receive quantum probability of state；

When there is eavesdropping, secure communication thresholdingSafety door is determined according to channel situation Limit, when receiving terminal obtains correct quantum bit probabilities less than P_mTime, there is eavesdropping.

This preferred embodiment is due to the imperfection of communication equipment, and there is noise in channel, and quantum information is in transmission During can change, by set up actual channel receiving terminal is differentiated the standard of communication process whether safety is more as the criterion Really；Polarizing quantum state has metastable inherent character and ga s safety degree, effectively can enter in multi-user quantum communication The differentiation of row user；Secure Threshold in channel model is analyzed, is pushed away the peace differentiating eavesdropping in actual quantum communications Air cock limit formula.

Preferably, described wireless sensor monitoring network includes gateway, high energy leader cluster node, terminal node, described high energy Leader cluster node is responsible for effective collection of Monitoring Data, and described gateway will collect information and store in embedded database, is needing When wanting, Monitoring Data is passed through quantum communication network transmission to cloud service center；Described high energy leader cluster node is by leader cluster node, too Sun energy cell panel, accumulator, power amplifier and multiple monitoring sensor composition, the energy of described leader cluster node is by solar-electricity Pond plate and accumulator combine and provide.

The energy of the leader cluster node that this preferred embodiment is arranged is combined by solar panel and accumulator and provides, it is possible to protect The energy of card leader cluster node provides, and saving electric consumption reduces monitoring cost.

Preferably, the described type according to Monitoring Data carries out data calibration and merges pretreatment, including:

(1) Monitoring Data of each sensor is calibrated by BP neutral net, reject the data of mistake simultaneously, obtain Obtain data more accurately；Described calibrated by BP neutral net, including:

1) BP neutral net is built, using the monitor value of sensor as the input layer of BP neutral net, with reference instrument Measured value is as the output layer of BP neutral net；

2) BP neural metwork training is carried out, particularly as follows: by the monitor value of sensor from hidden through BP neutral net of input layer Being transmitted to output layer containing layer, if not obtaining desired output valve at output layer, then along former path, error being returned, and according to by mistake Difference function, uses weights and the threshold value of gradient descent method correction each layer neuron, so that error is minimum, is finally reached expectation effect Really, described error function is defined as:

$D=\frac{1}{2}\underset{j}{\Σ}{\mathrm{\Σ}}_m(\widehat{Y_m}-Y_m)$

$Y_m=\underset{j}{\Σ}\frac{w_{mj}}{1+\exp (-{\mathrm{\Σ}}_i{w}_{ij}{x}_i+T_i)}+T_m$

In formula, w_ijFor the connection weights of previous output layer to hidden layer, x_iFor the output valve of previous output layer, T_iIt is implicit The threshold value of layer, w_mjFor the connection weights of hidden layer to a rear output layer, T_mThreshold value for a rear output layer；

(2) by adaptive weight fusion estimated algorithm, the Monitoring Data of multiple sensors is merged, particularly as follows: according to respectively The monitor value of sensor, finds the optimal weighted factor that each sensor is corresponding in an adaptive way, is meeting total mean square error In the case of difference minimum so that the result after fusion reaches optimum.

The pretreatment node of this preferred embodiment carries out data calibration according to the type of Monitoring Data and merges pretreatment, solves Determine the nonlinearity erron of general sensor measurement, made Monitoring Data more accurately and reliable.

In this application scenarios, set T_LValue be 0.5, the precision of sensor node localization improves 10%, monitoring essence Degree improves 12%.

Application scenarios 4

See Fig. 1, Fig. 2, a kind of radiation monitoring system of an embodiment of this application scene and its implementation, system Framework is divided into 3 levels, and respectively sensing layer, data Layer and analysis management layer, carry out data friendship by network between each layer Change.

Preferably, sensing layer mainly includes portable radiant detection equipment and stationary radiation detection equipment, passes through network Form can by measure radiation data and equipment itself positional information transmission to data Layer.

Originally it is preferable to carry out achieving the accurate measurements of data.

Preferably, data Layer carries out data storage by physical store and cloud storage two ways, and backups each other, and can carry For data-query interfaces.

This preferred embodiment ensure that data safety.

The implementation method of a kind of Radiation monitoring of one embodiment of this application scene, comprises the following steps:

S1 builds the wireless sensor monitoring network for monitoring, and the quantum communications net for Monitoring Data transmission Network；

S2 utilizes wireless sensor monitoring network to monitor and gathers Monitoring Data, and by Monitoring Data by quantum communication network Network transmits to pretreatment node；

S3 pretreatment node carries out data calibration according to the type of Monitoring Data and merges pretreatment, pretreated monitoring The sub-communication network transmission of data throughput is to cloud service center；

S4 cloud service center by the Monitoring Data received and pre-set with this Monitoring Data corresponding to threshold is set Value compares, if described Monitoring Data arranges threshold value, then by described Monitoring Data and result of the comparison beyond corresponding Send to the mobile management terminal preset.

The above embodiment of the present invention constructs the module architectures of monitoring system and the monitoring flow process of environment, it is achieved that environment Monitoring.

Preferably, the structure of described wireless sensor monitoring network includes the deployment of sensor node and sensor node Location, the method for the deployment of described sensor node includes:

(1) carry out network to dispose for the first time, if the monitoring radius of sensor node and communication radius are r, by monitoring section Territory is divided into emphasis monitored area and general monitored area, and emphasis monitored area is divided into square net, sensor node portion It is deployed on square net center, the square net length of sideGeneral monitored area is divided into regular hexagonal cell, sensor Node deployment in regular hexagon center, the regular hexagon length of side

(2) carry out network second time to dispose, sensor network is disposed the functional node that a part of communication capacity is strong, if The communication radius of functional node is 4r, emphasis monitored area and in general monitored area respectively according to the method in (1) to merit Can dispose by node.

This preferred embodiment deployment to sensor network, it is achieved that the seamless coverage of monitored area, it is ensured that Quan Mianjian Survey, use in key area square net to dispose, use regular hexagonal cell to dispose in general detection region, both saved biography Sensor quantity, in turn ensure that monitoring effect；Increase functional node, extend whole sensor network life, it is to avoid sensor Node premature depletion.

Preferably, the method for the location of described sensor node includes:

1) the intensity instruction receiving signal and the reference mode of each reference mode received are sat by unknown sensor node Mark is sent to host computer；

2) host computer carries out pretreatment to the strength indicator value receiving signal received, including: by self-defining choosing Take rule and choose the strength indicator value receiving signal of high probability generating region, the strength indicator value receiving signal asking for choosing Meansigma methods is as the final strength indicator value receiving signal；Described self-defining selection rule is:

When the strength indicator value receiving signal of the reference mode that unknown sensor node receives meets following condition, really This strength indicator value fixed is the strength indicator value receiving signal of high probability generating region:

$T_L\≤\frac{1}{\mathrm{\ϵ}\sqrt{2\mathrm{\π}}}{e}^{-\frac{x-\mathrm{\γ}}{2{\mathrm{\ϵ}}^2}}\≤1$

Wherein

$\mathrm{\ϵ}=\sqrt{\frac{{\mathrm{\Σ}}_{i=1}^N{({\mathrm{RSSI}}_i-\mathrm{\γ})}^2}{N-1}}$

$\mathrm{\γ}=\frac{{\mathrm{\Σ}}_{i=1}^N{\mathrm{RSSI}}_i}{N}$

In formula, RSSI_iThe intensity instruction receiving signal of each reference mode i & lt is received for unknown sensor node Value, i ∈ [1, N], T_LFor the marginal value set, T_LSpan be [0.4,0.6]；

3) distance of unknown sensor node distance reference node is calculated；

4) coordinate of unknown sensor node is calculated, if the coordinate of k reference mode is respectively (x₁,y₁),(x₂, y₂),…,(x_k,y_k), the distance of unknown sensor node to reference mode is respectively d₁,d₂,…,d_k, unknown sensor node X Coordinate computing formula be:

X=(α^Tα)^-1α^Tβ

Wherein

$\mathrm{\α}=\left[\begin{array}{cc}2(x_1-x_k)& 2(y_1-y_k)\\ 2(x_2-x_k)& 2(y_2-y_k)\\ ...& ...\\ 2(x_{k-1}-x_k)& 2(y_{k-1}-y_k)\end{array}\right]$

$\mathrm{\β}=\left[\begin{array}{c}{x_1}^2-{x_k}^2+{y_1}^2-{y_k}^2+{d_k}^2-{d_1}^2\\ {x_2}^2-{x_k}^2+{y_2}^2-{y_k}^2+{d_k}^2-{d_2}^2\\ \mathrm{...}\\ {x_{k-1}}^2-{x_k}^2+{y_{k-1}}^2-{y_k}^2+{d_k}^2-{d_{m-1}}^2\end{array}\right]$

This preferred embodiment devises the method for the location of sensor node, improves the positioning precision of sensor node, Thus relatively improve the precision of monitoring.

Preferably, the structure of described quantum communication network includes setting up quantum channel, determining quantum key distribution scheme；Institute State and set up quantum channel, comprise the following steps:

(1) setting up the statement model of quantum channel, definition input quantum bit finite aggregate is I={ | i₁>,|i₂>,…,| i_N>, the finite aggregate of output quantum bit is O={ | o₁>,|o>,…,|o_N> quantum channel C be: will | i > ∈ I sends into letter Road, the output of channel is the output in the quantum information source determined completely by density operator ρ (| i ＞)；

(2) quantum state is in the transmitting procedure of quantum channel, associates with channel, and completely or partially sends out at receiving terminal Raw change, becomes new state, and associate with quantum state in channel has non-ideal equipment and noise, need to carry out excellent to channel Change, including:

Signaling channel matrix is X, and noise is Z, then accept state J_kFor:

J_k=(X+Z) T_k, (k=1,2 ..., n)

In formula, T_kRepresenting the state matrix under same measurement base, each column element representation one sends state；

Use coefficient R₁、R₂Represent the correlation circumstance of non-ideal equipment and noise and quantum state respectively, pass through wave equation Theoretical and Thermodynamics Formulas models, and draws the concrete channel model meeting different channels situation；

Described quantum key distribution scheme agreement based on BB84 determines, comprises the following steps:

(1) through laser instrument, optical mixer, attenuator and phase-modulator, transmitting terminal generates single photon pulses, with quantum The address code that polarization state polarization angle transmits as information, transmitting terminal polarization state angle random takes 0,Each monochromatic light Before subpulse sends, transmitting terminal is to receiving terminal tranmitting data register signal.The polarization state phase place of each single photon pulses is entered by transmitting terminal Row coding, transmitting terminal phase placeTake 0 and π and form one group of orthogonal normalizing base, receiving terminal phase placeTake 0 matched, transmitting terminal phase Position takesWithForming another and organize orthogonal normalizing base, receiving terminal phase place takesMatched；

(2) receiving terminal is through phase-modulator, Polarization Controller, beam splitter, half-wave plate, polarization beam apparatus and single photon Detector receives light list pulse, according to clock pulse signal, measures receiving quantum state, first passes through two groups of differences Detector readings under base draws address code value, then releases phase information, carries out phase place by classical channel with transmitting terminal afterwards And polarization base comparison；

(3) receiving terminal screening metrical information, abandons wrong polarization and measures the information that draws of base and wrong phase is measured base and obtained The information gone out, draws initial key respectively.

(4) receiving terminal carries out umber of pulse comparison to the measurement base counting after screening, if the survey of the correct result obtained Amount main pulse number less than safe umber of pulse threshold value, then shows to there is eavesdropping, now, abandons this key agreement, re-start Step (1) arrives (4), if the measurement main pulse number of correct result that obtains of receiving terminal is more than or equal to threshold value, and transmitting terminal and connecing Receiving end carries out data harmonization by classical channel and close property is amplified, thus obtains final key；

Wherein, safe pulse gate limit value is adopted and is determined with the following method,

During without eavesdropping, receiving terminal obtains the accuracy of quantum bit

In formula, P_rRepresent that correct selection accurately receives quantum probability of state, P when measuring base_wRepresent when base is measured in wrong choice Accurately receive quantum probability of state；

When there is eavesdropping, secure communication thresholdingSafety door is determined according to channel situation Limit, when receiving terminal obtains correct quantum bit probabilities less than P_mTime, there is eavesdropping.

This preferred embodiment is due to the imperfection of communication equipment, and there is noise in channel, and quantum information is in transmission During can change, by set up actual channel receiving terminal is differentiated the standard of communication process whether safety is more as the criterion Really；Polarizing quantum state has metastable inherent character and ga s safety degree, effectively can enter in multi-user quantum communication The differentiation of row user；Secure Threshold in channel model is analyzed, is pushed away the peace differentiating eavesdropping in actual quantum communications Air cock limit formula.

Preferably, described wireless sensor monitoring network includes gateway, high energy leader cluster node, terminal node, described high energy Leader cluster node is responsible for effective collection of Monitoring Data, and described gateway will collect information and store in embedded database, is needing When wanting, Monitoring Data is passed through quantum communication network transmission to cloud service center；Described high energy leader cluster node is by leader cluster node, too Sun energy cell panel, accumulator, power amplifier and multiple monitoring sensor composition, the energy of described leader cluster node is by solar-electricity Pond plate and accumulator combine and provide.

The energy of the leader cluster node that this preferred embodiment is arranged is combined by solar panel and accumulator and provides, it is possible to protect The energy of card leader cluster node provides, and saving electric consumption reduces monitoring cost.

Preferably, the described type according to Monitoring Data carries out data calibration and merges pretreatment, including:

(1) Monitoring Data of each sensor is calibrated by BP neutral net, reject the data of mistake simultaneously, obtain Obtain data more accurately；Described calibrated by BP neutral net, including:

1) BP neutral net is built, using the monitor value of sensor as the input layer of BP neutral net, with reference instrument Measured value is as the output layer of BP neutral net；

2) BP neural metwork training is carried out, particularly as follows: by the monitor value of sensor from hidden through BP neutral net of input layer Being transmitted to output layer containing layer, if not obtaining desired output valve at output layer, then along former path, error being returned, and according to by mistake Difference function, uses weights and the threshold value of gradient descent method correction each layer neuron, so that error is minimum, is finally reached expectation effect Really, described error function is defined as:

$D=\frac{1}{2}\underset{j}{\Σ}{\mathrm{\Σ}}_m(\widehat{Y_m}-Y_m)$

$Y_m=\underset{j}{\Σ}\frac{w_{mj}}{1+\exp (-{\mathrm{\Σ}}_i{w}_{ij}{x}_i+T_i)}+T_m$

In formula, w_ijFor the connection weights of previous output layer to hidden layer, x_iFor the output valve of previous output layer, T_iIt is implicit The threshold value of layer, w_mjFor the connection weights of hidden layer to a rear output layer, T_mThreshold value for a rear output layer；

(2) by adaptive weight fusion estimated algorithm, the Monitoring Data of multiple sensors is merged, particularly as follows: according to respectively The monitor value of sensor, finds the optimal weighted factor that each sensor is corresponding in an adaptive way, is meeting total mean square error In the case of difference minimum so that the result after fusion reaches optimum.

The pretreatment node of this preferred embodiment carries out data calibration according to the type of Monitoring Data and merges pretreatment, solves Determine the nonlinearity erron of general sensor measurement, made Monitoring Data more accurately and reliable.

In this application scenarios, set T_LValue be 0.55, the precision of sensor node localization improves 8.5%, monitoring Precision improves 8%.

Application scenarios 5

See Fig. 1, Fig. 2, a kind of radiation monitoring system of an embodiment of this application scene and its implementation, system Framework is divided into 3 levels, and respectively sensing layer, data Layer and analysis management layer, carry out data friendship by network between each layer Change.

Preferably, sensing layer mainly includes portable radiant detection equipment and stationary radiation detection equipment, passes through network Form can by measure radiation data and equipment itself positional information transmission to data Layer.

Originally it is preferable to carry out achieving the accurate measurements of data.

Preferably, data Layer carries out data storage by physical store and cloud storage two ways, and backups each other, and can carry For data-query interfaces.

This preferred embodiment ensure that data safety.

The implementation method of a kind of Radiation monitoring of one embodiment of this application scene, comprises the following steps:

S1 builds the wireless sensor monitoring network for monitoring, and the quantum communications net for Monitoring Data transmission Network；

S2 utilizes wireless sensor monitoring network to monitor and gathers Monitoring Data, and by Monitoring Data by quantum communication network Network transmits to pretreatment node；

S3 pretreatment node carries out data calibration according to the type of Monitoring Data and merges pretreatment, pretreated monitoring The sub-communication network transmission of data throughput is to cloud service center；

S4 cloud service center by the Monitoring Data received and pre-set with this Monitoring Data corresponding to threshold is set Value compares, if described Monitoring Data arranges threshold value, then by described Monitoring Data and result of the comparison beyond corresponding Send to the mobile management terminal preset.

The above embodiment of the present invention constructs the module architectures of monitoring system and the monitoring flow process of environment, it is achieved that environment Monitoring.

Preferably, the structure of described wireless sensor monitoring network includes the deployment of sensor node and sensor node Location, the method for the deployment of described sensor node includes:

(1) carry out network to dispose for the first time, if the monitoring radius of sensor node and communication radius are r, by monitoring section Territory is divided into emphasis monitored area and general monitored area, and emphasis monitored area is divided into square net, sensor node portion It is deployed on square net center, the square net length of sideGeneral monitored area is divided into regular hexagonal cell, sensing Device node deployment in regular hexagon center, the regular hexagon length of side

(2) carry out network second time to dispose, sensor network is disposed the functional node that a part of communication capacity is strong, if The communication radius of functional node is 4r, emphasis monitored area and in general monitored area respectively according to the method in (1) to merit Can dispose by node.

This preferred embodiment deployment to sensor network, it is achieved that the seamless coverage of monitored area, it is ensured that Quan Mianjian Survey, use in key area square net to dispose, use regular hexagonal cell to dispose in general detection region, both saved biography Sensor quantity, in turn ensure that monitoring effect；Increase functional node, extend whole sensor network life, it is to avoid sensor Node premature depletion.

Preferably, the method for the location of described sensor node includes:

1) the intensity instruction receiving signal and the reference mode of each reference mode received are sat by unknown sensor node Mark is sent to host computer；

2) host computer carries out pretreatment to the strength indicator value receiving signal received, including: by self-defining choosing Take rule and choose the strength indicator value receiving signal of high probability generating region, the strength indicator value receiving signal asking for choosing Meansigma methods is as the final strength indicator value receiving signal；Described self-defining selection rule is:

When the strength indicator value receiving signal of the reference mode that unknown sensor node receives meets following condition, really This strength indicator value fixed is the strength indicator value receiving signal of high probability generating region:

$T_L\≤\frac{1}{\mathrm{\ϵ}\sqrt{2\mathrm{\π}}}{e}^{-\frac{x-\mathrm{\γ}}{2{\mathrm{\ϵ}}^2}}\≤1$

Wherein

$\mathrm{\ϵ}=\sqrt{\frac{{\mathrm{\Σ}}_{i=1}^N{({\mathrm{RSSI}}_i-\mathrm{\γ})}^2}{N-1}}$

$\mathrm{\γ}=\frac{{\mathrm{\Σ}}_{i=1}^N{\mathrm{RSSI}}_i}{N}$

In formula, RSSI_iThe intensity instruction receiving signal of each reference mode i & lt is received for unknown sensor node Value, i ∈ [1, N], T_LFor the marginal value set, T_LSpan be [0.4,0.6]；

3) distance of unknown sensor node distance reference node is calculated；

4) coordinate of unknown sensor node is calculated, if the coordinate of k reference mode is respectively (x₁,y₁),(x₂, y₂),…,(x_k,y_k), the distance of unknown sensor node to reference mode is respectively d₁,d₂,…,d_k, unknown sensor node X Coordinate computing formula be:

X=(α^Tα)^-1α^Tβ

Wherein

$\mathrm{\α}=\left[\begin{array}{cc}2(x_1-x_k)& 2(y_1-y_k)\\ 2(x_2-x_k)& 2(y_2-y_k)\\ ...& ...\\ 2(x_{k-1}-x_k)& 2(y_{k-1}-y_k)\end{array}\right]$

$\mathrm{\β}=\left[\begin{array}{c}{x_1}^2-{x_k}^2+{y_1}^2-{y_k}^2+{d_k}^2-{d_1}^2\\ {x_2}^2-{x_k}^2+{y_2}^2-{y_k}^2+{d_k}^2-{d_2}^2\\ \mathrm{...}\\ {x_{k-1}}^2-{x_k}^2+{y_{k-1}}^2-{y_k}^2+{d_k}^2-{d_{m-1}}^2\end{array}\right]$

This preferred embodiment devises the method for the location of sensor node, improves the positioning precision of sensor node, Thus relatively improve the precision of monitoring.

Preferably, the structure of described quantum communication network includes setting up quantum channel, determining quantum key distribution scheme；Institute State and set up quantum channel, comprise the following steps:

(1) setting up the statement model of quantum channel, definition input quantum bit finite aggregate is I={ | i₁〉,|i₂〉,…,| i_N＞ }, the finite aggregate of output quantum bit is O={ | o₁〉,|o〉,…,|o_N＞ } quantum channel C be: will | i ＞ ∈ I sends into letter Road, the output of channel is the output in the quantum information source determined completely by density operator ρ (| i >)；

(2) quantum state is in the transmitting procedure of quantum channel, associates with channel, and completely or partially sends out at receiving terminal Raw change, becomes new state, and associate with quantum state in channel has non-ideal equipment and noise, need to carry out excellent to channel Change, including:

Signaling channel matrix is X, and noise is Z, then accept state J_kFor:

J_k=(X+Z) T_k, (k=1,2 ..., n)

In formula, T_xRepresenting the state matrix under same measurement base, each column element representation one sends state；

Use coefficient R₁、R₂Represent the correlation circumstance of non-ideal equipment and noise and quantum state respectively, pass through wave equation Theoretical and Thermodynamics Formulas models, and draws the concrete channel model meeting different channels situation；

Described quantum key distribution scheme agreement based on BB84 determines, comprises the following steps:

(1) through laser instrument, optical mixer, attenuator and phase-modulator, transmitting terminal generates single photon pulses, with quantum The address code that polarization state polarization angle transmits as information, transmitting terminal polarization state angle random takes 0,Each monochromatic light Before subpulse sends, transmitting terminal is to receiving terminal tranmitting data register signal.The polarization state phase place of each single photon pulses is entered by transmitting terminal Row coding, transmitting terminal phase placeTake 0 and π and form one group of orthogonal normalizing base, receiving terminal phase placeTake 0 matched, transmitting terminal phase Position takesWithForming another and organize orthogonal normalizing base, receiving terminal phase place takesMatched；

(2) receiving terminal is through phase-modulator, Polarization Controller, beam splitter, half-wave plate, polarization beam apparatus and single photon Detector receives light list pulse, according to clock pulse signal, measures receiving quantum state, first passes through two groups of differences Detector readings under base draws address code value, then releases phase information, carries out phase place by classical channel with transmitting terminal afterwards And polarization base comparison；

(3) receiving terminal screening metrical information, abandons wrong polarization and measures the information that draws of base and wrong phase is measured base and obtained The information gone out, draws initial key respectively.

(4) receiving terminal carries out umber of pulse comparison to the measurement base counting after screening, if the survey of the correct result obtained Amount main pulse number less than safe umber of pulse threshold value, then shows to there is eavesdropping, now, abandons this key agreement, re-start Step (1) arrives (4), if the measurement main pulse number of correct result that obtains of receiving terminal is more than or equal to threshold value, and transmitting terminal and connecing Receiving end carries out data harmonization by classical channel and close property is amplified, thus obtains final key；

Wherein, safe pulse gate limit value is adopted and is determined with the following method,

During without eavesdropping, receiving terminal obtains the accuracy of quantum bit

In formula, P_rRepresent that correct selection accurately receives quantum probability of state, P when measuring base_wRepresent when base is measured in wrong choice Accurately receive quantum probability of state；

When there is eavesdropping, secure communication thresholdingSafety door is determined according to channel situation Limit, when receiving terminal obtains correct quantum bit probabilities less than P_mTime, there is eavesdropping.

This preferred embodiment is due to the imperfection of communication equipment, and there is noise in channel, and quantum information is in transmission During can change, by set up actual channel receiving terminal is differentiated the standard of communication process whether safety is more as the criterion Really；Polarizing quantum state has metastable inherent character and ga s safety degree, effectively can enter in multi-user quantum communication The differentiation of row user；Secure Threshold in channel model is analyzed, is pushed away the peace differentiating eavesdropping in actual quantum communications Air cock limit formula.

Preferably, described wireless sensor monitoring network includes gateway, high energy leader cluster node, terminal node, described high energy Leader cluster node is responsible for effective collection of Monitoring Data, and described gateway will collect information and store in embedded database, is needing When wanting, Monitoring Data is passed through quantum communication network transmission to cloud service center；Described high energy leader cluster node is by leader cluster node, too Sun energy cell panel, accumulator, power amplifier and multiple monitoring sensor composition, the energy of described leader cluster node is by solar-electricity Pond plate and accumulator combine and provide.

The energy of the leader cluster node that this preferred embodiment is arranged is combined by solar panel and accumulator and provides, it is possible to protect The energy of card leader cluster node provides, and saving electric consumption reduces monitoring cost.

Preferably, the described type according to Monitoring Data carries out data calibration and merges pretreatment, including:

(1) Monitoring Data of each sensor is calibrated by BP neutral net, reject the data of mistake simultaneously, obtain Obtain data more accurately；Described calibrated by BP neutral net, including:

1) BP neutral net is built, using the monitor value of sensor as the input layer of BP neutral net, with reference instrument Measured value is as the output layer of BP neutral net；

2) BP neural metwork training is carried out, particularly as follows: by the monitor value of sensor from hidden through BP neutral net of input layer Being transmitted to output layer containing layer, if not obtaining desired output valve at output layer, then along former path, error being returned, and according to by mistake Difference function, uses weights and the threshold value of gradient descent method correction each layer neuron, so that error is minimum, is finally reached expectation effect Really, described error function is defined as:

$D=\frac{1}{2}\underset{j}{\Σ}{\mathrm{\Σ}}_m(\widehat{Y_m}-Y_m)$

$Y_m=\underset{j}{\Σ}\frac{w_{mj}}{1+\exp (-{\mathrm{\Σ}}_i{w}_{ij}{x}_i+T_i)}+T_m$

In formula, w_ijFor the connection weights of previous output layer to hidden layer, x_iFor the output valve of previous output layer, T_iIt is implicit The threshold value of layer, w_mjFor the connection weights of hidden layer to a rear output layer, T_mThreshold value for a rear output layer；

(2) by adaptive weight fusion estimated algorithm, the Monitoring Data of multiple sensors is merged, particularly as follows: according to respectively The monitor value of sensor, finds the optimal weighted factor that each sensor is corresponding in an adaptive way, is meeting total mean square error In the case of difference minimum so that the result after fusion reaches optimum.

The pretreatment node of this preferred embodiment carries out data calibration according to the type of Monitoring Data and merges pretreatment, solves Determine the nonlinearity erron of general sensor measurement, made Monitoring Data more accurately and reliable.

In this application scenarios, set T_LValue be 0.6, the precision of sensor node localization improves 9.5%, monitoring essence Degree improves 10.5%.

Last it should be noted that, above example is only in order to illustrate technical scheme, rather than the present invention is protected Protecting the restriction of scope, although having made to explain to the present invention with reference to preferred embodiment, those of ordinary skill in the art should Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention Matter and scope.

Claims (3)

1. radiation monitoring system and an its implementation, is characterized in that, system architecture is divided into 3 levels, respectively sensing layer, Data Layer and analysis management layer, carry out data exchange by network between each layer.

A kind of radiation monitoring system the most according to claim 1 and its implementation, is characterized in that, sensing layer mainly includes Portable radiant detection equipment and stationary radiation detection equipment, can be by the radiation data measured and equipment by the form of network The positional information of itself sends to data Layer.

A kind of radiation monitoring system the most according to claim 1 and its implementation, is characterized in that, data Layer passes through physics Storage and cloud storage two ways carry out data storage, and backup each other, it is possible to provide data-query interfaces.