CN107168152A - Metro environment safety pre-warning system and its method based on wireless sensor network - Google Patents
Metro environment safety pre-warning system and its method based on wireless sensor network Download PDFInfo
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- CN107168152A CN107168152A CN201710288534.2A CN201710288534A CN107168152A CN 107168152 A CN107168152 A CN 107168152A CN 201710288534 A CN201710288534 A CN 201710288534A CN 107168152 A CN107168152 A CN 107168152A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24215—Scada supervisory control and data acquisition
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
Metro environment monitoring system of the invention based on wireless sense network, including metro environment parameter acquisition node, communication gate and remote supervision system；Devise a kind of metro environment safety pre-warning system, with distribution of layouting it is wide, easy to maintenance, can long-range monitoring and other advantages.Meanwhile, the invention also provides a kind of metro environment safe early warning method, to improve the security of subway circulation.
Description
Technical field
It is specially the metro environment safe early warning based on wireless sensor network the present invention relates to Environmental safety supervision field
System and method.
Background technology
In recent years, with the quickening of urbanization process, urban population is more and more intensive.At present, the most big-and-middle cities of China are all
It is faced with traffic jam issue.Underground Space Resource can be made full use of by building subway, effectively solve congested in traffic problem.So
And, because subway is built in underground, space relative closure, once occurring disaster, such as toxic gas leakage, subway have a power failure, subway communication letter
Number system failure, will largely limit the development of rescue work, massive losses are brought to human life and property.Therefore,
The safety problem of metro operation environment, has become the important component of urban society's public safety, should cause social each
Widely pay attention on boundary.
Wireless sensor network is incorporated into metro environment safety monitoring system by the present invention, passes through wireless sensor node
Environmental data and remote supervision system is wirelessly transmitted to by communication gate along collection subway, with distribution of layouting is wide, cost
Low, zmodem, can remotely monitor, be easy to safeguard etc. many merits.Meanwhile, the invention also provides a kind of metro environment safety
Warning algorithm, finds potential safety hazard and eliminates in time in time, to ensure that metro safety is run.
The content of the invention
It is an object of the invention to provide the metro environment safety pre-warning system based on wireless sensor network and its method,
A kind of described metro environment safety pre-warning system based on wireless sensor network includes metro environment parameter acquisition node, led to
Believe gateway and remote supervision system；Several metro environment parameter acquisition nodes and 1 communication gate constitute a sub- monitoring section
Domain, whole monitored area is made up of some sub- monitored areas；Responsible at regular intervals pair of metro environment parameter acquisition node
Metro environment data acquisition is once gathered, and the information collected is sent into communication network by wireless sensor network
Close；Communication gate is responsible for that the information of each metro environment parameter acquisition node is collected and handled, will by GPRS network
Information is sent to remote supervision system.Remote supervision system is responsible for the whole metro environment prison gathered to each sub- monitored area
The metro environment data for surveying region are stored and analyzed and early warning, and then realize long-range monitoring.Meanwhile, the present invention proposes one
Metro environment safe early warning method is planted, safe early warning is carried out by metro environment data, improves the security performance of subway circulation.
Technical scheme：Metro environment monitoring system based on wireless sense network, including metro environment parameter are adopted
Collect node, communication gate and remote supervision system；
Described metro environment parameter acquisition node has a square shell, above metro environment parameter acquisition node shell
Provided with 1 acquisition node ZigBee aerial socket and 1 sensor data cable input slot, in metro environment parameter acquisition node
Shell includes main processor circuit, penetrated built with plot iron hoop border collecting circuit board, described metro environment collecting circuit board
Frequency drive circuit and signal conditioning circuit；Main processor circuit on described metro environment collecting circuit board includes MSP430 cores
Piece and its peripheral circuit, described RF driver circuit include chip CC2420 and its peripheral circuit；Described metro environment is adopted
RF driver circuit on collector plate passes through acquisition node provided with 1 acquisition node ZigBee antenna terminal
ZigBee signal wires are connected with acquisition node ZigBee antennas；Signal conditioning circuit on described metro environment collecting circuit board
It is made up of capacitance resistance ware, is responsible for nursing one's health sensor signal；Signal condition on described metro environment collecting circuit board
Circuit gathers sensor provided with 1 sensor data cable binding post, by sensor data cable and metro environment and is connected, institute
The sensor data cable input that the sensor data cable binding post stated is located above metro environment parameter acquisition node shell is inserted
At groove；
The communication gate has a rectangle shell, provided with 1 gateway ZigBee aerial socket above communication gate shell
With 1 gateway GPRS aerial socket；In communication gate shell built with one piece of communication gate circuit board, described communication network is powered-down
Road plate includes microcontroller circuit, ZigBee communication circuit and GPRS telecommunication circuits；It is micro- on described communication gate circuit board
Processor circuit is made up of MSP430 processors and its peripheral circuit, is responsible for ZigBee communication control and GPRS telecommunication controls
System, the data of each metro environment acquisition node are collected and remote supervision system is sent to；Described communication network is powered-down
ZigBee communication circuit on the plate of road is made up of wireless sensor network chip CC2420 and its peripheral circuit, is responsible for and each ground
Iron hoop border acquisition node is communicated；Described ZigBee communication circuit leads to provided with 1 gateway ZigBee antenna terminal
Cross gateway ZigBee signal wires with gateway ZigBee antennas to be connected, the gateway ZigBee antenna terminals are located at communication gate
At gateway ZigBee aerial sockets above shell；GPRS telecommunication circuits on described communication gate circuit board are communicated by GPRS
Chip MC39I and its peripheral circuit composition, are responsible for being communicated with remote supervision system；Described GPRS telecommunication circuits are provided with
1 GPRS antenna binding post, is connected by GPRS signal wires with GPRS antenna, described gateway GPRS antenna terminal position
At GPRS antenna slot above communication gate shell；
It is described that remote supervision system is made up of server, the monitoring section that each communication gate is sent is received by GPRS network
The metro environment data in domain,, being capable of early warning in time when metro environment changes by warning algorithm.
Method for early warning of the present invention is as follows：
The present invention carries out early warning using Elman neural network models.Concretely comprise the following steps：
（1）Sampled data is pre-processed
For each monitoring subregion, communication gate is transferred to the n group ambient parameters of remote supervision system（Including this monitoring
Carbonomonoxide concentration, gas concentration lwevel in region, combustable gas concentration, temperature, relative humidity, brightness, ground settlement, water
Soil pressure）As sample data, the standard deviation of parameters is calculated according to Bessel formula：If the deviation of a certain sample dataMeet：, then it is assumed thatIt is abnormal data, is rejected.For each monitored area, it will be remained after Error processing
Remaining r groups environmental data uses average value filtering algorithm, to remove the random error in sampled data, and by each data normalizing
Change interval to [0,1].
（2）It is determined that each monitoring subregion Elman Artificial Neural Network Structures and training algorithm
The mathematical modeling of Elman neutral nets is：
WhereinFor context unit and the connection weight matrix of Hidden unit；For the connection weight of input block and Hidden unit
Matrix；For Hidden unit and the connection weight matrix of output unit；The input of Elman networks is represented, is 8 dimensional vectors；WithRespectively n ties up the output of context unit and Hidden unit；For the output of output layer unit, be 1 dimension to
Amount, its value is safe early warning level value, is divided into 5 safe classes, 1（It is abnormally dangerous）、2（It is dangerous）、3（Safety）、4（Relatively pacify
Entirely）、5（It is very safe）；For the transfer function of output layer neuron；For the transfer function of hidden layer neuron.
Elman networks carry out the amendment of weights by gradient descent method, and study index is using sum of squared errors function come table
Show：
The learning algorithm of Elman networks is：
In formula,、WithRespectively connection weight、WithLearning rate；；；；。
R sample data after each monitoring subregion normalized is divided into two groups：One group is used as Elman nerve nets
The initial training data set of network model, is trained to Elman neutral nets；Another group as verification data collection, for verifying
The neural network model set up, so as to set up an Elman neural network model for each monitored area.
（3）Early warning is carried out safely to metro environment using model
The Monitoring Data that communication gate in every sub- monitored area is transferred into remote supervision system utilizes institute as input
The Elman neutral nets for the subregion set up carry out safely early warning to the subregion metro environment.
Beneficial effects of the present invention：
Based on wireless sensor network and GPRS communication networks, a kind of metro environment safety pre-warning system is devised, with layouting
Distribution is wide, easy to maintenance, can long-range monitoring and other advantages.Meanwhile, the invention also provides a kind of metro environment safe early warning method,
To improve the security of subway circulation.
Brief description of the drawings
Fig. 1 is present system structural representation.
Fig. 2 is metro environment parameter acquisition node structure schematic diagram of the present invention.
Fig. 3 is communication gate structural representation of the present invention.
Fig. 4 is metro environment parameter acquisition node circuit structural representation of the present invention.
Fig. 5 is communication gate electrical block diagram of the present invention.
Fig. 6 is communication gate MSP430 chip circuit figures of the present invention.
Fig. 7 is communication gate CC2420 chip circuit figures of the present invention.
Fig. 8 is communication gate MC39I chip circuit figures of the present invention.
Fig. 9 is metro environment parameter acquisition node M SP430 chip circuit figures of the present invention.
Figure 10 is metro environment parameter acquisition node CC2420 chip circuit figures of the present invention.
Figure 11 is metro environment safe early warning algorithm flow chart of the present invention.
Annex in figure：1 be acquisition node ZigBee antennas, 2 acquisition node ZigBee aerial sockets, 3 be parameter acquisition node outside
Shell, 4 be that sensor data cable inputs slot, and 5 be gateway ZigBee antennas, and 6 be GPRS antenna, and 7 be that gateway ZigBee antennas are inserted
Groove, 8 be GPRS antenna slot, and 9 be communication gate shell.
Embodiment
Embodiment
The specific work process of the present invention is fully described by with reference to the accompanying drawings and with reference to example.Such as Fig. 1-11,
Metro environment safety pre-warning system based on wireless sensor network includes metro environment parameter acquisition node 1, the and of communication gate 2
Remote supervision system 3.
The metro environment parameter acquisition node has a square shell 3, in metro environment parameter acquisition node shell 3
Top connects a collection provided with 1 acquisition node ZigBee aerial socket 2, by acquisition node ZigBee aerial sockets 2 and saved
Point ZigBee antennas.In a side of metro environment parameter acquisition node shell 3 provided with 1 sensor data cable input slot
4.In metro environment parameter acquisition node shell 3 built with plot iron hoop border collecting circuit board, the metro environment Acquisition Circuit
Plate is made up of main processor circuit, RF driver circuit, signal conditioning circuit.Main process task on the metro environment collecting circuit board
Device circuit is made up of MSP430 chips and its peripheral circuit, and RF driver circuit is made up of chip CC2420 and its peripheral circuit.
RF driver circuit on the metro environment collecting circuit board leads to provided with 1 acquisition node ZigBee antenna terminal
Acquisition node ZigBee signal wires are crossed with acquisition node ZigBee antennas 1 to be connected.Signal on metro environment collecting circuit board is adjusted
Reason circuit is made up of capacitance resistance ware, is responsible for nursing one's health sensor signal.Signal condition on metro environment collecting circuit board
Circuit gathers sensor provided with 1 sensor data cable binding post, by sensor data cable and metro environment and is connected, and passes
Sensor data wire binding post is located at the sensor data cable input slot 4 above metro environment parameter acquisition node shell.
Metro environment parameter acquisition node is responsible for field data of collection at regular intervals.
The communication gate 2 has a rectangle shell 9, in the top of communication gate shell 9 provided with 1 gateway ZigBee days
Line slot 7 and 1 gateway GPRS aerial socket 8.In communication gate shell 9 built with one piece of communication gate circuit board, communication network
Circuit board is closed to be made up of microcontroller circuit, ZigBee communication circuit and GPRS telecommunication circuits.It is micro- on communication gate circuit board
Processor circuit is made up of MSP430 processors and its peripheral circuit, is responsible for ZigBee communication control and GPRS telecommunication controls
System, the data of each metro environment acquisition node are collected and remote supervision system is sent to.On communication gate circuit board
ZigBee communication circuit be made up of wireless sensor network chip CC2420 and its peripheral circuit, be responsible for each metro environment
Acquisition node is communicated.
ZigBee communication circuit provided with 1 gateway ZigBee antenna terminal, by gateway ZigBee signal wires with
Gateway ZigBee antennas are connected, gateway of the gateway ZigBee antenna terminals above communication gate shell 9 ZigBee days
At line slot 7.GPRS telecommunication circuits on communication gate circuit board are made up of GPRS communication chips MC39I and its peripheral circuit,
It is responsible for being communicated with remote supervision system.Described GPRS telecommunication circuits pass through provided with 1 GPRS antenna binding post
GPRS signal wires are connected with GPRS antenna, and the gateway GPRS antenna terminal is located at GPRS days of the top of communication gate shell 9
At line slot 8.Communication gate is responsible for entering the field data that metro environment parameter acquisition node is collected at regular intervals
Row collects and handled, and is sent to remote supervision system.
The remote supervision system is made up of server, receives each communication gate at regular intervals by GPRS network
The metro environment data of the monitored area sent, pass through warning algorithm（Warning algorithm flow chart is as shown in Figure 11）, work as subway
, being capable of early warning in time when environment changes.
The present invention carries out early warning using Elman neural network models.Concretely comprise the following steps：
（1）Sampled data is pre-processed
For each monitoring subregion, communication gate is transferred to the n group ambient parameters of remote supervision system（Including this monitoring
Carbonomonoxide concentration, gas concentration lwevel in region, combustable gas concentration, temperature, relative humidity, brightness, ground settlement, water
Soil pressure）As sample data, the standard deviation of parameters is calculated according to Bessel formula：If the deviation of a certain sample dataMeet：, then it is assumed thatIt is abnormal data, is rejected.For each monitored area, it will be remained after Error processing
Remaining r groups environmental data uses average value filtering algorithm, to remove the random error in sampled data, and by each data normalizing
Change interval to [0,1].
（2）It is determined that each monitoring subregion Elman Artificial Neural Network Structures and training algorithm
The mathematical modeling of Elman neutral nets is：
WhereinFor context unit and the connection weight matrix of Hidden unit；For the connection weight of input block and Hidden unit
Matrix；For Hidden unit and the connection weight matrix of output unit；The input of Elman networks is represented, is 8 dimensional vectors；WithRespectively n ties up the output of context unit and Hidden unit；For the output of output layer unit, be 1 dimension to
Amount, its value is safe early warning level value, is divided into 5 safe classes, 1（It is abnormally dangerous）、2（It is dangerous）、3（Safety）、4（Relatively pacify
Entirely）、5（It is very safe）；For the transfer function of output layer neuron；For the transfer function of hidden layer neuron.
Elman networks carry out the amendment of weights by gradient descent method, and study index is using sum of squared errors function come table
Show：
The learning algorithm of Elman networks is：
In formula,、WithRespectively connection weight、WithLearning rate；；；；。
R sample data after each monitoring subregion normalized is divided into two groups：One group is used as Elman nerve nets
The initial training data set of network model, is trained to Elman neutral nets；Another group as verification data collection, for verifying
The neural network model set up, so as to set up an Elman neural network model for each monitored area.
（3）Early warning is carried out safely to metro environment using model
The Monitoring Data that communication gate in every sub- monitored area is transferred into remote supervision system utilizes institute as input
The Elman neutral nets for the subregion set up carry out safely early warning to the subregion metro environment.
Claims (4)
1. the metro environment monitoring system based on wireless sense network, it is characterised in that including metro environment parameter acquisition node, lead to
Believe gateway and remote supervision system；
Described metro environment parameter acquisition node has a square shell, above metro environment parameter acquisition node shell
Provided with 1 acquisition node ZigBee aerial socket and 1 sensor data cable input slot, in metro environment parameter acquisition node
Shell includes main processor circuit, penetrated built with plot iron hoop border collecting circuit board, described metro environment collecting circuit board
Frequency drive circuit and signal conditioning circuit；Main processor circuit on described metro environment collecting circuit board includes MSP430 cores
Piece and its peripheral circuit, described RF driver circuit include chip CC2420 and its peripheral circuit；Described metro environment is adopted
RF driver circuit on collector plate passes through acquisition node provided with 1 acquisition node ZigBee antenna terminal
ZigBee signal wires are connected with acquisition node ZigBee antennas；Signal conditioning circuit on described metro environment collecting circuit board
It is made up of capacitance resistance ware, is responsible for nursing one's health sensor signal；Signal condition on described metro environment collecting circuit board
Circuit gathers sensor provided with 1 sensor data cable binding post, by sensor data cable and metro environment and is connected, institute
The sensor data cable input that the sensor data cable binding post stated is located above metro environment parameter acquisition node shell is inserted
At groove；
The communication gate has a rectangle shell, provided with 1 gateway ZigBee aerial socket above communication gate shell
With 1 gateway GPRS aerial socket；In communication gate shell built with one piece of communication gate circuit board, described communication network is powered-down
Road plate includes microcontroller circuit, ZigBee communication circuit and GPRS telecommunication circuits；It is micro- on described communication gate circuit board
Processor circuit is made up of MSP430 processors and its peripheral circuit, is responsible for ZigBee communication control and GPRS telecommunication controls
System, the data of each metro environment acquisition node are collected and remote supervision system is sent to；Described communication network is powered-down
ZigBee communication circuit on the plate of road is made up of wireless sensor network chip CC2420 and its peripheral circuit, is responsible for and each ground
Iron hoop border acquisition node is communicated；Described ZigBee communication circuit leads to provided with 1 gateway ZigBee antenna terminal
Cross gateway ZigBee signal wires with gateway ZigBee antennas to be connected, the gateway ZigBee antenna terminals are located at communication gate
At gateway ZigBee aerial sockets above shell；GPRS telecommunication circuits on described communication gate circuit board are communicated by GPRS
Chip MC39I and its peripheral circuit composition, are responsible for being communicated with remote supervision system；Described GPRS telecommunication circuits are provided with
1 GPRS antenna binding post, is connected by GPRS signal wires with GPRS antenna, described gateway GPRS antenna terminal position
At GPRS antenna slot above communication gate shell；
Described remote supervision system is made up of server, and the monitoring section that each communication gate is sent is received by GPRS network
The metro environment data in domain,, being capable of early warning in time when metro environment changes by warning algorithm.
2. the metro environment monitoring system according to claim 1 based on wireless sense network, it is characterised in that：Described
The pin P63/A3 connection carbonomonoxide concentration signal transducers of MSP430 chips, pin P64/A4 connections gas concentration lwevel letter
Number sensor, pin P65/A5 connection combustable gas concentration signal transducers, pin P66/A6 connections relative humidity signal is passed
Sensor, pin P66/A6 connection ground settlement signal transducers, pin P62/A2 connection temperature signal sensors, pin P61/
A1 connection Water And Earth Pressures signal transducers, pin P60/A0 connection luminance signal sensors.
3. the metro environment monitoring system according to claim 1 based on wireless sense network, it is characterised in that：Described ground
Iron hoop border parameter acquisition node was once gathered every 30 seconds to 1 minute to metro environment data acquisition.
4. the metro environment monitoring system according to claim 1 based on wireless sense network, it is characterised in that metro environment
The method for early warning of monitoring system is：
Early warning is carried out using Elman neural network models；Concretely comprise the following steps：
First, sampled data is pre-processed
For each monitoring subregion, the n groups ambient parameter that communication gate is transferred into remote supervision system includes this monitoring
Carbonomonoxide concentration, gas concentration lwevel, combustable gas concentration, temperature, relative humidity, brightness, ground settlement in region and
Water And Earth Pressures calculate the standard deviation of parameters according to Bessel formula as sample data：If a certain sample data is inclined
DifferenceMeet：, then it is assumed thatIt is abnormal data, is rejected；, will be after Error processing for each monitored area
Remaining r groups environmental data uses average value filtering algorithm, to remove the random error in sampled data, and each data is returned
One changes to [0,1] interval；
2nd, each monitoring subregion Elman Artificial Neural Network Structures and training algorithm are determined
The mathematical modeling of Elman neutral nets is：
WhereinFor context unit and the connection weight matrix of Hidden unit；For input block and the connection weight square of Hidden unit
Battle array；For Hidden unit and the connection weight matrix of output unit；The input of Elman networks is represented, is 8 dimensional vectors；
WithRespectively n ties up the output of context unit and Hidden unit；It is 1 dimensional vector for the output of output layer unit, its
It is worth for safe early warning level value, is divided into 5 safe classes, the 1st grade is abnormally dangerous, the 2nd grade is dangerous, the 3rd grade
It is that safer, the 5th grade is very safe for safety, the 4th grade；For the transfer function of output layer neuron；To be hidden
The transfer function of the neuron containing layer；
Elman networks carry out the amendment of weights by gradient descent method, and study index is represented using sum of squared errors function：
The learning algorithm of Elman networks is：
In formula,、WithRespectively connection weight、WithLearning rate；；；；；
R sample data after each monitoring subregion normalized is divided into two groups：One group is used as Elman neutral net moulds
The initial training data set of type, is trained to Elman neutral nets；Another group, as verification data collection, is built for verifying
Vertical neural network model, so as to set up an Elman neural network model for each monitored area；
3rd, early warning is carried out safely to metro environment using model
The Monitoring Data that communication gate in every sub- monitored area is transferred into remote supervision system utilizes institute as input
The Elman neutral nets for the subregion set up carry out safely early warning to the subregion metro environment.
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| CN201710288534.2A CN107168152A (en) | 2017-04-27 | 2017-04-27 | Metro environment safety pre-warning system and its method based on wireless sensor network |
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| CN201710288534.2A CN107168152A (en) | 2017-04-27 | 2017-04-27 | Metro environment safety pre-warning system and its method based on wireless sensor network |
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| CN113660549A (en) * | 2021-07-20 | 2021-11-16 | 清华大学 | Integrated acquisition method and system for disaster accident test data in subway |
| CN114689129A (en) * | 2022-05-31 | 2022-07-01 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) | Underground space environment monitoring system and method |
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Application publication date: 20170915 |