CN108259596A - A kind of mine safety monitoring system based on wireless sensor network - Google Patents
A kind of mine safety monitoring system based on wireless sensor network Download PDFInfo
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- CN108259596A CN108259596A CN201810027657.5A CN201810027657A CN108259596A CN 108259596 A CN108259596 A CN 108259596A CN 201810027657 A CN201810027657 A CN 201810027657A CN 108259596 A CN108259596 A CN 108259596A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
- H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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Abstract
A kind of mine safety monitoring system based on wireless sensor network, including parameter monitoring module, data transmission module, database module and interface display module, the parameter monitoring module is acquired the environmental data in mine and passed through wireless sensor network using sensor node is sent to data transmission module by the environmental data, the data transmission module is used to the environmental data being transmitted to database module, the database module is used to store and process the data received, and judge the ambient condition of underground, the interface display module is used to show the location information of sensor and environmental data.Beneficial effects of the present invention are：A kind of mine safety monitoring system based on wireless sensor network is provided, the jump segment distance algorithm and node locating algorithm of beaconing nodes in wireless sensor network are improved, it is effectively reduced position error, the positioning accuracy of node is improved, so as to be effectively monitored to downhole safety.
Description
Technical field
The invention is related to mine safety field, and in particular to a kind of mine safety prison based on wireless sensor network
Examining system.
Background technology
Mine safety management is a complicated engineering, and the environmental monitoring of underground is mostly important in mine safety management
Link has great significance to effectively managing mine safety.To effective hair monitored for preventing accident of subsurface environment
Raw, by the incidence of humidity, the loss with caused by is preferably minimized important realistic meaning.Wireless sensor network is by supervising
The self-organizing network of a large amount of wireless sensor nodes, the by radio communication multi-hop that mode is formed arranged in region is surveyed, in ring
In terms of the monitoring of border, wireless sensor network technology has significant advantage.The present invention provides a kind of based on wireless sensor network
Mine safety monitoring system, by application of higher wireless sensor network to mining safety monitoring, to wireless sensor network technology
Middle traditional node locating and Data fusion technique are improved, and are improved positioning accuracy and monitoring accuracy, are realized ore deposit
Effective monitoring of well safety.
Invention content
In view of the above-mentioned problems, a kind of the present invention is intended to provide mine safety monitoring system based on wireless sensor network.
The purpose of the invention is achieved through the following technical solutions：
A kind of mine safety monitoring system based on wireless sensor network, including parameter monitoring module, data transmission mould
Block, database module and interface display module, the parameter monitoring module utilize the environment number in sensor node acquisition mine
According to and pass through wireless sensor network the environmental data be sent to data transmission module, the data transmission module is used for will
The environmental data is transmitted to database module, and the database module is used to that the environmental data received to be stored and located
Reason, and judges the ambient condition of underground, when judge subsurface environment state for it is dangerous when i.e. progress early warning, the interface display module
For the location information of sensor node and environmental data to be shown.
The advantageous effect of the invention：The present invention provides a kind of mining safety monitoring system based on wireless sensor network
System, is improved the jump segment distance algorithm and node locating algorithm of the beaconing nodes in wireless sensor network, effectively subtracts
Position error is lacked, has improved the positioning accuracy of node, so as to be effectively monitored to downhole safety.
Description of the drawings
Innovation and creation are described further using attached drawing, but the embodiment in attached drawing does not form and the invention is appointed
What is limited, without creative efforts, can also be according to the following drawings for those of ordinary skill in the art
Obtain other attached drawings.
Fig. 1 is schematic structural view of the invention；
Fig. 2 is the structure diagram of database module of the present invention.
Reference numeral：
Parameter monitoring module 1；Data transmission module 2；Database module 3；Interface display module 4；Data storage cell 31；
Data processing unit 32；Alarm unit 33.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1 and Fig. 2, a kind of mine safety monitoring system based on wireless sensor network of the present embodiment, including
Parameter monitoring module 1, data transmission module 2, database module 3 and interface display module 4, the parameter monitoring module 1 utilize
Sensor node acquires the environmental data in mine and passes through wireless sensor network is sent to data biography by the environmental data
Defeated module 2, the data transmission module 2 are used to the environmental data being transmitted to database module 3, the database module 3
For being stored and processed to the environmental data received, and the ambient condition of underground is judged, when judging subsurface environment state
Early warning is carried out during for danger, the interface display module 4 is used to show the location information of sensor node and environmental data
Out.
Preferably, the sensor node of the parameter monitoring module 1 includes carbon monoxide transducer, temperature sensor, wet
Spend sensor and air velocity transducer.
Preferably, the database module 3 includes data storage cell 31, data processing unit 32 and alarm unit 33,
The data storage cell 31 for being stored to the subsurface environment data received, the data processing unit 32 for pair
The subsurface environment data received are handled, and judge the ambient condition of underground, even when subsurface environment state is dangerous
Alarm unit 33 carries out early warning.
Preferably, the parameter monitoring module 1 and data transmission module 2 realize the biography of data by wireless sensor network
Defeated, the data transmission module 2 and database module 3 pass through the transmission that GPRS realizes data.
This preferred embodiment provides a kind of mine safety monitoring system based on wireless sensor network, to wireless sensor
The jump segment distance algorithm and node locating algorithm of beaconing nodes in network are improved, and are effectively reduced position error, are carried
The high positioning accuracy of node, so as to be effectively monitored to downhole safety.
Preferably, the wireless sensor network in the parameter monitoring module 1 uses innovatory algorithm to each unknown node
Average hop distance calculated, and estimate unknown node to other beaconing nodes according to the Average hop distance for calculating gained
Jump segment distance, specifically include：
A. the Average hop distance l of each beaconing nodes is calculated using following equationi,
In formula, liFor the Average hop distance of each beaconing nodes, (xi, yi) be beaconing nodes i position coordinates, (xj,
yj) be beaconing nodes j position coordinates, hijJump hop count between beaconing nodes i and beaconing nodes j；
B. Average hop distance according to obtained by above-mentioned calculating calculates unknown node to the jump segment distance of other beaconing nodes,
Definition unknown node is k, then the calculation formula of the jump segment distance of unknown node k to other beaconing nodes is：
When beaconing nodes p is the beaconing nodes nearest apart from unknown node k, then between unknown node k to beaconing nodes p
Jump distance, dkpFor：
In formula,For the Average hop distance of unknown node k, hkpJump section between unknown node k and beaconing nodes p
Number, liFor the Average hop distance of each beaconing nodes,For beaconing nodes p between other beaconing nodes actual range it is flat
Mean value,For beacon beaconing nodes p to the average value that hop count is jumped between other beaconing nodes；
When beaconing nodes g is apart from unknown node k beaconing nodes farther out, then between unknown node k to beaconing nodes g
Jump distance, dkgFor：
dkg=lkg×hkg
In formula, lkgFor the Average hop distance between unknown node k and beaconing nodes g,For the average every of unknown node k
Hop distance, JpgFor the actual range between beaconing nodes p and beaconing nodes g, hpgBetween beaconing nodes p and beaconing nodes g
Jump hop count, hkgFor the minimum hop count between unknown node k and beaconing nodes g.
Compared with the computational methods of the Average hop distance of traditional beaconing nodes, this algorithm is calculating this preferred embodiment
During the Average hop distance of beaconing nodes, calculated according to different beaconing nodes carrying out adaptively, effectively reduce jump section
The evaluated error of distance, while also lay the foundation for follow-up accurately positioning.
Preferably, the wireless sensor network in the parameter monitoring module 1 is used based on differential evolution algorithm to unknown
Node is positioned, and the fitness function in differential evolution algorithm is improved, if beaconing nodes are A in wireless network, not
Number of nodes is known for B, then improved fitness function is：
In formula,It is unknown node k t for the position coordinates of population, (xm,ym) be beaconing nodes m position
Coordinate, dkmFor the jump segment distance of unknown node k corresponding with the population at individual to beaconing nodes m, G is to unknown node k-hop section
Closest beaconing nodes number, hknJump hop count between unknown node k to beaconing nodes n.
The node positioning method that this preferred embodiment proposes is improved the fitness function in differential evolution algorithm, comprehensive
It closes and considers the distance between unknown node and beaconing nodes error and jump segment distance between them and minimum hop count to section
The influence of point location accuracy so as to be effectively reduced the influence that range error positions unknown node, improves node and determines
The precision of position.
Inventor has carried out one for the node locating algorithm of parameter monitoring mould improved wireless sensor network in the block
Series of tests, specially：
When communication radius is 30m, the experimental data tested is：
| Beaconing nodes ratio (%) | Position error (m) | Positioning accuracy (%) |
| 20 | 5.87 | 19.57 |
| 25 | 5.35 | 17.83 |
| 30 | 5.01 | 16.70 |
| 35 | 4.74 | 15.80 |
When communication radius is 40m, the test data tested is：
| Beaconing nodes ratio (%) | Position error (m) | Positioning accuracy (%) |
| 20 | 6.02 | 15.05 |
| 25 | 5.75 | 14.38 |
| 30 | 5.23 | 13.08 |
| 35 | 4.89 | 12.23 |
It can be seen that from above-mentioned test data and positioned using improved node locating algorithm, not only had higher
Positioning accuracy, and position error is also smaller.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention rather than the present invention is protected
The limitation of range is protected, although being explained in detail with reference to preferred embodiment to the present invention, those of ordinary skill in the art should
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. a kind of mine safety monitoring system based on wireless sensor network, it is characterized in that, including parameter monitoring module, data
Transmission module, database module and interface display module, the parameter monitoring module is using in sensor node acquisition mine
Environmental data simultaneously passes through wireless sensor network the environmental data is sent to data transmission module, the data transmission module
For the environmental data to be transmitted to database module, the database module be used to carrying out the data received storage and
Processing, and judge the ambient condition of underground, early warning is carried out when subsurface environment state is dangerous, the interface display module is used
It is shown in by the location information of sensor and environmental data.
2. a kind of mine safety monitoring system based on wireless sensor network according to claim 1, it is characterized in that, institute
The sensor node for stating parameter monitoring module includes carbon monoxide transducer, temperature sensor, humidity sensor and wind speed sensing
Device.
3. a kind of mine safety monitoring system based on wireless sensor network according to claim 1, it is characterized in that, institute
It states database module and includes data storage cell, data processing unit and alarm unit, the data storage cell is used to dock
The subsurface environment data received are stored, and the data processing unit is used at the subsurface environment data to receiving
Reason, and judges the ambient condition of underground, even alarm unit carries out early warning when subsurface environment state is dangerous.
4. a kind of mine safety monitoring system based on wireless sensor network according to claim 3, it is characterized in that, institute
State the transmission that parameter monitoring module and data transmission module realize data by wireless sensor network, the data transmission module
The transmission of data is realized by GPRS with database module.
5. a kind of mine safety monitoring system based on wireless sensor network according to claim 4, it is characterized in that, institute
Parameter monitoring mould wireless sensor network in the block is stated to carry out the Average hop distance of each unknown node using innovatory algorithm
It calculates, and unknown node is estimated to the jump segment distance of other beaconing nodes according to the Average hop distance for calculating gained, it is specific to wrap
It includes：
A. the Average hop distance li of each beaconing nodes is calculated using following equation,
In formula, liFor the Average hop distance of each beaconing nodes, (xi, yi) be beaconing nodes i position coordinates, (xj, yj) be
The position coordinates of beaconing nodes j, hijJump hop count between beaconing nodes i and beaconing nodes j；
B. the Average hop distance according to obtained by above-mentioned calculating calculates unknown node to the jump segment distance of other beaconing nodes, definition
Unknown node is k, then the calculation formula of the jump segment distance of unknown node k to other beaconing nodes is：
When beaconing nodes p is the beaconing nodes nearest apart from unknown node k, then the jump between unknown node k to beaconing nodes p
Distance, dkpFor：
In formula,For the Average hop distance of unknown node k, hkpJump hop count between unknown node k and beaconing nodes p, liFor
The Average hop distance of each beaconing nodes,For beaconing nodes p to the average value of actual range between other beaconing nodes,
For beacon beaconing nodes p to the average value that hop count is jumped between other beaconing nodes；
When beaconing nodes g is apart from unknown node k beaconing nodes farther out, then the jump between unknown node k to beaconing nodes g
Distance, dkgFor：
dkp=lkg×hkg
In formula, lkgFor the Average hop distance between unknown node k and beaconing nodes g,For unknown node k it is average often jump away from
From JpgFor the actual range between beaconing nodes p and beaconing nodes g, hpgJump section between beaconing nodes p and beaconing nodes g
Number, hkgFor the minimum hop count between unknown node k and beaconing nodes g.
6. a kind of mine safety monitoring system based on wireless sensor network according to claim 5, it is characterized in that, institute
Parameter monitoring mould wireless sensor network in the block is stated using being positioned based on differential evolution algorithm to unknown node, to difference
Fitness function in evolution algorithm is improved, if beaconing nodes are A in wireless network, unknown node number is B, then after improving
Fitness function be：
In formula,It is unknown node k t for the position coordinates of population, (xm,ym) be beaconing nodes m position coordinates,
dkmFor the jump segment distance of unknown node k corresponding with the population at individual to beaconing nodes m, G be to unknown node k-hop segment distance most
Near beaconing nodes number, hknJump hop count between unknown node k to beaconing nodes n.
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| CN201810027657.5A CN108259596A (en) | 2018-01-11 | 2018-01-11 | A kind of mine safety monitoring system based on wireless sensor network |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109379780A (en) * | 2018-10-23 | 2019-02-22 | 华南理工大学 | Wireless sensor network locating method based on adaptive differential evolution algorithm |
| CN113985747A (en) * | 2021-11-10 | 2022-01-28 | 慕思健康睡眠股份有限公司 | Intelligent home management system |
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Patent Citations (5)
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| CN113985747A (en) * | 2021-11-10 | 2022-01-28 | 慕思健康睡眠股份有限公司 | Intelligent home management system |
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Application publication date: 20180706 |