CN109495860A - A kind of regional air mass monitoring system of real-time intelligent - Google Patents
A kind of regional air mass monitoring system of real-time intelligent Download PDFInfo
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- CN109495860A CN109495860A CN201811471015.0A CN201811471015A CN109495860A CN 109495860 A CN109495860 A CN 109495860A CN 201811471015 A CN201811471015 A CN 201811471015A CN 109495860 A CN109495860 A CN 109495860A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/12—Shortest path evaluation
- H04L45/124—Shortest path evaluation using a combination of metrics
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/12—Shortest path evaluation
- H04L45/125—Shortest path evaluation based on throughput or bandwidth
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/12—Shortest path evaluation
- H04L45/126—Shortest path evaluation minimising geographical or physical path length
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
- H04W40/10—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on available power or energy
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/20—Communication route or path selection, e.g. power-based or shortest path routing based on geographic position or location
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Abstract
The present invention provides a kind of regional air mass monitoring system of real-time intelligent, which includes perception subsystem, computer analyzing subsystem, user terminal；Perception subsystem is used to acquire the air quality information in monitoring region, perception subsystem includes by the wireless sensor network of aggregation node and multiple sensor node buildings being deployed in the monitoring region, the air quality information of monitoring position where sensor node acquisition, aggregation node are mainly used for converging the air quality information of each sensor node acquisition and are sent to the computer analyzing subsystem；The computer analyzing subsystem is connect with multiple user terminals, and the air quality information received is sent to the multiple user terminal.
Description
Technical field
The present invention relates to environment monitoring techniques fields, and in particular to a kind of regional air quality-monitoring system of real-time intelligent
System.
Background technique
Current Detection of Air Quality generally requires professional and visits with instrument, one time an of intelligent measurement
The data of point or a period, cannot reflect the variation of air quality, and be unable to multi-parameter while acquiring, can not be intelligent
The drawbacks such as networking.Air quality monitoring be mainly in air the conventional pollution factor and meteorologic parameter continuously exist within 24 hours
The data analyzed are supplied to client as the reference of air quality quality, and assist policy of environment protection by the monitoring of line, wherein to
Monitoring factors include: pollution particulate matter, carbon dioxide, oxygen, formaldehyde and other harmful substances etc..
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of regional air mass monitoring system of real-time intelligent.
The purpose of the present invention is realized using following technical scheme:
A kind of regional air mass monitoring system of real-time intelligent is provided, which includes perception subsystem, computer
Analyzing subsystem, multiple user terminals；Perception subsystem is used to acquire the air quality information in monitoring region, perceives subsystem
Including the wireless sensor network by aggregation node and multiple sensor node buildings being deployed in the monitoring region, sensor
The air quality information of monitoring position where node acquisition, aggregation node are mainly used for converging the air of each sensor node acquisition
Quality information is simultaneously sent to the computer analyzing subsystem；The computer analyzing subsystem is connect with multiple user terminals,
The air quality information received is sent to the multiple user terminal.
In one embodiment, sensor node is equipped with sensor module, and sensor module includes with lower sensor
It is one or more:
Dust sensor, the concentration for the dust pollution object in air quality monitoring region described in real-time detection；
PM2.5 sensor, the concentration for the PM2.5 pollutant in air quality monitoring region described in real-time detection；
Formaldehyde sensor, the concentration for the formaldehyde pollutants in air quality monitoring region described in real-time detection；
Toxic gas sensor, the concentration for the toxic gas in air quality monitoring region described in real-time detection；
Peculiar smell sensor, the concentration for the peculiar smell in air quality monitoring region described in real-time detection；
Carbon dioxide sensor, the concentration for the carbon dioxide in air quality monitoring region described in real-time detection.
In one embodiment, the computer analyzing subsystem includes the sky for storing each sensor node acquisition
The display module of the memory module of gas quality information, air quality information for showing the acquisition of each sensor node, Yi Jiyong
In the sending module that air quality information is sent to the multiple user terminal.
Further, the computer analyzing subsystem further includes analysis and early warning module, for air quality information into
Row analysis, exports warning message when air quality information does not meet the threshold condition of setting.
The invention has the benefit that realizing air quality letter in monitoring region using wireless sensor network technology
The perception and acquisition of breath, and the Real-Time Sharing of air quality information can be completed.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is a kind of structure of the regional air mass monitoring system of real-time intelligent of an illustrative embodiment of the invention
Schematic block diagram；
Fig. 2 is the structural schematic block diagram of the computer analyzing subsystem of an illustrative embodiment of the invention.
Appended drawing reference:
It perceives subsystem 1, computer analyzing subsystem 2, user terminal 3, memory module 10, display module 20, send mould
Block 30, analysis and early warning module 40.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, the embodiment of the invention provides a kind of regional air mass monitoring system of real-time intelligent, the system packets
Include perception subsystem 1, computer analyzing subsystem 2, multiple user terminals 3；Subsystem 1 is perceived for acquiring in monitoring region
Air quality information, perception subsystem 1 includes by aggregation node and multiple sensor node structures being deployed in the monitoring region
The wireless sensor network built, the air quality information of monitoring position, aggregation node are mainly used for where sensor node acquisition
It converges the air quality information of each sensor node acquisition and is sent to the computer analyzing subsystem 2；The computer point
Analysis subsystem 2 is connect with multiple user terminals 3, and the air quality information received is sent to the multiple user terminal 3.
In one embodiment, sensor node is equipped with sensor module, and sensor module includes with lower sensor
It is one or more:
Dust sensor, the concentration for the dust pollution object in air quality monitoring region described in real-time detection；
PM2.5 sensor, the concentration for the PM2.5 pollutant in air quality monitoring region described in real-time detection；
Formaldehyde sensor, the concentration for the formaldehyde pollutants in air quality monitoring region described in real-time detection；
Toxic gas sensor, the concentration for the toxic gas in air quality monitoring region described in real-time detection；
Peculiar smell sensor, the concentration for the peculiar smell in air quality monitoring region described in real-time detection；
Carbon dioxide sensor, the concentration for the carbon dioxide in air quality monitoring region described in real-time detection.
In one embodiment, as shown in Fig. 2, the computer analyzing subsystem 2 includes for storing each sensor
The memory module 10 of the air quality information of node acquisition, and the air quality information for showing each sensor node acquisition
Display module 20.Computer analyzing subsystem 2 further includes for air quality information to be sent to the multiple user terminal 3
Sending module 30.
Further, the computer analyzing subsystem 2 further includes analysis and early warning module 40, for air quality information
It is analyzed, exports warning message when air quality information does not meet the threshold condition of setting.The output warning message,
Including exporting warning message to multiple user terminals 3 output warning message, and/or to display module 20.
The present embodiment realizes the timely early warning to air quality exception.
The wherein setting of threshold condition can be configured according to the actual situation.It in one embodiment, can be for not
Different level threshold values is set with air quality information, when air quality information determines the air matter beyond corresponding level threshold value
It is abnormal for measuring information, and then exports warning message.Wherein, which may include abnormal air quality information and/or different
The position that normal air quality information generates.
The above embodiment of the present invention utilizes wireless sensor network technology, realizes air quality information in monitoring region
Real-time perception and acquisition, and the Real-Time Sharing of air quality information can be completed.
In a kind of mode that can be realized, the transmission range of oneself is adjusted to maximum by sensor node when initial, if passing
The distance of sensor node to aggregation node is less than the currently transmitted distance of sensor node, and sensor node is directly by acquisition
Air quality information is sent to aggregation node, and otherwise, the air quality information of acquisition is sent to next-hop section by sensor node
Point, is sent to aggregation node for air quality information in the form of through multi-hop transmission；If neighbor node is positioned at sensor section
Other sensors node in point communication range, when network is initial, sensor node, which obtains neighbor node by information exchange, to be believed
Breath constructs neighbor node collection, and concentrates from its neighbor node and select a hop neighbor section closer apart from aggregation node relative to it
Point is used as both candidate nodes, priority level is distributed for each both candidate nodes, so that both candidate nodes are divided into level-one both candidate nodes, second level
Both candidate nodes；When sensor node selects next-hop node, request message first is sent to level-one both candidate nodes and starts timer,
If receiving the feedback information of level-one both candidate nodes after timing, level-one corresponding to the feedback information being connected at first is selected
Both candidate nodes are as next-hop node；If not receiving the feedback information of level-one both candidate nodes, sensor node after timing
Request message then is sent to second level both candidate nodes and starts timer, if receiving the feedback of second level both candidate nodes after timing
Information, then select corresponding to the feedback information being connected at first that second level both candidate nodes are as next-hop node, after timing
If not receiving the feedback information of second level both candidate nodes, sensor node is selected apart from nearest both candidate nodes as next-hop section
Point.
In the present embodiment sensor node using relative to its apart from the closer hop neighbor node of aggregation node as candidate
Node constructs the candidate node set as next-hop node candidate, limits the routed path of sensor node to aggregation node
Length and direction, ensured the one-way transmission of air quality information.
Wherein, priority level is distributed for each both candidate nodes, comprising:
(1) weight of each both candidate nodes is calculated:
In formula, LijFor the weight of the both candidate nodes j of sensor node i, H (i, j) is sensor node i and the both candidate nodes
The distance of j, H (i, d) are at a distance from d-th of both candidate nodes of sensor node i and its, and H (j, s) is both candidate nodes j and convergence
The distance of node, H (d, s) are d-th of both candidate nodes at a distance from aggregation node, niFor candidate's section of sensor node i
Point quantity, wiFor the neighbor node quantity of sensor node i, wjFor the neighbor node quantity of the both candidate nodes j, wi∩wjFor
The quantity for the common neighbor node that sensor node i and both candidate nodes j are possessed, x1、x2For preset impact factor, meet x1+
x2=1；e1、e2For preset weight coefficient, meet e1+e2=1；
(2) ifBoth candidate nodes j is classified as level-one both candidate nodes, ifIt will wait
Node j is selected to be classified as second level both candidate nodes, wherein LidFor the weight of d-th of both candidate nodes of sensor node i.
The present embodiment innovatively sets the index of priority level, wherein according to the position of both candidate nodes and itself and biography
The relevance of sensor node proposes the calculation formula for measuring the weight of priority level.Sensor node is each time according to weight
Node is selected to distribute priority level, so that both candidate nodes are divided into level-one both candidate nodes, second level both candidate nodes, by both candidate nodes
Grade classification is carried out, the efficiency of selection for improving next-hop node is conducive to, sensor node is first selected from level-one both candidate nodes
Next-hop node is conducive to the both candidate nodes that selection relevance is less as far as possible, and shortens sensor node to aggregation node
Routed path length, thus reduce air quality information transmission energy consumption, the service life of further prolonging wireless sensor network.
In one embodiment, the request message includes the energy and bandwidth information of sensor node, and both candidate nodes connect
After receiving the request message, judge itself whether meet following forwarding condition, if satisfied, both candidate nodes are to the sensor node
Send feedback message:
In formula, BjFor the air quality information packet quantity in the cache list of both candidate nodes j, MTFor preset forwarding one
The energy consumption of air quality information packet, MjFor the current remaining of both candidate nodes j, Mj0For the primary power of both candidate nodes j, Mmin
For preset energy lower limit, qTFor it is preset be bandwidth consumed by air quality information packet services, qjFor both candidate nodes j
Current residual bandwidth, qj0For the initial bandwidth of both candidate nodes j, MiFor the current remaining of sensor node i, Mi0For sensing
The primary power of device node i, qiFor the preceding remaining bandwidth of sensor node i, qi0For the initial bandwidth of sensor node i, k1、k2
For preset weight factor, meet k1+k2=1, δ are preset tolerance coefficient, and the value range of δ is [0.4,0.6].
The game of surplus resources of the present embodiment based on both candidate nodes and sensor node innovatively sets forwarding item
Part after both candidate nodes receive the request message, determines whether the sensing according to the forwarding condition itself whether is met
Device node sends feedback message.The present embodiment makes the candidate for having more enough resources to execute air quality information forwarding task
Node just has an opportunity to be chosen as next-hop node, this is conducive to the reliability for improving air quality information transmission, is beneficial to simultaneously
The resource of each both candidate nodes in equalising network.By voluntarily being judged whether to compete next-hop node by both candidate nodes, relative to
Uniformly judge whether both candidate nodes meet the mode of forwarding condition by sensor node, balances computing cost, it is further balanced
The energy consumption of each sensor node of network.
In one embodiment, sensor node regularly updates the transmission range of oneself according to the following formula:
In formula, Ri(s) transmission range updated for sensor node i s-th of period, RiIt (s-1) is sensor node i
In the transmission range that the s-1 period updates, MiFor the current remaining of sensor node i, Mi0For the first of sensor node i
Beginning energy, MminFor preset energy lower limit,For bracket function, expression pair It is rounded, ρ is the preset attenuation coefficient based on energy, and the value range of ρ is [0.4,0.6].
The present embodiment sets the calculation formula of transmission range based on the energy of sensor node, is innovatively sensor
The routing mode selection that node sends air quality information gives preferable measurement standard, i.e. sensor node to aggregation node
Distance be less than the currently transmitted distance of sensor node, the air quality information of acquisition is directly sent to by sensor node
The air quality information of acquisition is sent to next-hop node by aggregation node, otherwise, sensor node, to pass through multi-hop transmission
Air quality information is sent to aggregation node by form.Sensor node is based on transmission range and selects suitable routing mode, has
Conducive to the energy consumption that sensor node sends air quality information is reduced, sensor node is avoided to lose because energy rapidly depletes
Effect ensures the stability routed in wireless sensor network.
Through the above description of the embodiments, those skilled in the art can be understood that it should be appreciated that can
To realize the embodiments described herein with hardware, software, firmware, middleware, code or its any appropriate combination.For hardware
It realizes, processor can be realized in one or more the following units: specific integrated circuit, digital signal processor, number letter
Number processing equipment, field programmable gate array, processor, controller, microcontroller, microprocessor, is set programmable logic device
Count other electronic units or combinations thereof for realizing functions described herein.For software implementations, the part of embodiment or complete
Portion's process can instruct relevant hardware to complete by computer program.When realization, above procedure can be stored in meter
It instructs in calculation machine readable medium or as the one or more on computer-readable medium or code is transmitted.It is computer-readable
Medium includes computer storage media and communication media, and wherein communication media includes convenient for passing from a place to another place
Send any medium of computer program.Storage medium can be any usable medium that computer can access.It is computer-readable
Medium can include but is not limited to random access memory, read-only memory mirror image, band Electrically Erasable Programmable Read-Only Memory or its
His optical disc storage, magnetic disk storage medium or other magnetic storage apparatus or it can be used in carrying or storing that there is instruction or number
According to structure type desired program code and can be by any other medium of computer access.
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 explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (5)
1. a kind of regional air mass monitoring system of real-time intelligent, characterized in that including perception subsystem, computer analysis
System, user terminal；Perception subsystem is used to acquire the air quality information in monitoring region, and perception subsystem includes by converging
The wireless sensor network of node and multiple sensor node buildings being deployed in the monitoring region, sensor node acquire institute
Air quality information in monitoring position, aggregation node are mainly used for converging the air quality information of each sensor node acquisition simultaneously
It is sent to the computer analyzing subsystem；The computer analyzing subsystem is connect with multiple user terminals, will be received
Air quality information be sent to the multiple user terminal；The transmission range of oneself is adjusted to most by sensor node when initial
Greatly, if the distance of sensor node to aggregation node is less than the currently transmitted distance of sensor node, sensor node is direct
The air quality information of acquisition is sent to aggregation node, otherwise, the air quality information of acquisition is sent to by sensor node
Air quality information is sent to aggregation node in the form of through multi-hop transmission by next-hop node；If neighbor node be positioned at
Other sensors node in sensor node communication range, when network is initial, sensor node is obtained adjacent by information exchange
Occupy nodal information, construct neighbor node collection, and from its neighbor node concentrate selection relative to its apart from aggregation node it is closer one
Hop neighbor node distributes priority level as both candidate nodes, for each both candidate nodes, so that both candidate nodes are divided into level-one candidate
Node, second level both candidate nodes；When sensor node selects next-hop node, request message first is sent to level-one both candidate nodes and is opened
Dynamic timer selects the feedback information being connected at first institute if receiving the feedback information of level-one both candidate nodes after timing
Corresponding level-one both candidate nodes are as next-hop node；If not receiving the feedback information of level-one both candidate nodes after timing,
Sensor node then sends request message to second level both candidate nodes and starts timer, if receiving second level candidate after timing
The feedback information of node then selects second level both candidate nodes corresponding to the feedback information being connected at first as next-hop node,
If the feedback information of second level both candidate nodes is not received after timing, sensor node select apart from nearest both candidate nodes as
Next-hop node.
2. a kind of regional air mass monitoring system of real-time intelligent according to claim 1, characterized in that be each time
Node is selected to distribute priority level, comprising:
(1) weight of each both candidate nodes is calculated:
In formula, LijFor the weight of the both candidate nodes j of sensor node i, H (i, j) is sensor node i's and both candidate nodes j
Distance, H (i, d) are at a distance from d-th of both candidate nodes of sensor node i and its, and H (j, s) is both candidate nodes j and aggregation node
Distance, H (d, s) be d-th of both candidate nodes at a distance from aggregation node, #iFor the both candidate nodes number of sensor node i
Amount, wiFor the neighbor node quantity of sensor node i, wjFor the neighbor node quantity of the both candidate nodes j, wi∩wjFor sensing
The quantity for the common neighbor node that device node i and both candidate nodes j are possessed, x1、x2For preset impact factor, meet x1+x2=
1；e1、e2For preset weight coefficient, meet e1+e2=1；
(2) ifBoth candidate nodes j is classified as level-one both candidate nodes, ifCandidate is saved
Point j is classified as second level both candidate nodes, wherein LidFor the weight of d-th of both candidate nodes of sensor node i.
3. a kind of regional air mass monitoring system of real-time intelligent according to claim 2, characterized in that sensor section
Point is equipped with sensor module, and sensor module includes with the one or more of lower sensor:
Dust sensor, the concentration for the dust pollution object in air quality monitoring region described in real-time detection；
PM2.5 sensor, the concentration for the PM2.5 pollutant in air quality monitoring region described in real-time detection；
Formaldehyde sensor, the concentration for the formaldehyde pollutants in air quality monitoring region described in real-time detection；
Toxic gas sensor, the concentration for the toxic gas in air quality monitoring region described in real-time detection；
Peculiar smell sensor, the concentration for the peculiar smell in air quality monitoring region described in real-time detection；
Carbon dioxide sensor, the concentration for the carbon dioxide in air quality monitoring region described in real-time detection.
4. a kind of regional air mass monitoring system of real-time intelligent according to claim 2 or 3, characterized in that described
Computer analyzing subsystem includes for storing the memory module for the air quality information that each sensor node acquires, for showing
The display module of the air quality information of each sensor node acquisition, and it is the multiple for air quality information to be sent to
The sending module of user terminal.
5. a kind of regional air mass monitoring system of real-time intelligent according to claim 4, characterized in that the calculating
Machine analyzing subsystem further includes analysis and early warning module, for analyzing air quality information, is not inconsistent in air quality information
Warning message is exported when closing the threshold condition of setting.
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| CN201811471015.0A CN109495860A (en) | 2018-12-04 | 2018-12-04 | A kind of regional air mass monitoring system of real-time intelligent |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109917289A (en) * | 2019-03-22 | 2019-06-21 | 苏州宏裕千智能设备科技有限公司 | A kind of battery monitor system and method |
| CN116519895A (en) * | 2023-04-20 | 2023-08-01 | 荆州市昊运水利机械工程有限公司 | Water quality on-line monitoring analysis management system based on big data platform |
-
2018
- 2018-12-04 CN CN201811471015.0A patent/CN109495860A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109917289A (en) * | 2019-03-22 | 2019-06-21 | 苏州宏裕千智能设备科技有限公司 | A kind of battery monitor system and method |
| CN116519895A (en) * | 2023-04-20 | 2023-08-01 | 荆州市昊运水利机械工程有限公司 | Water quality on-line monitoring analysis management system based on big data platform |
| CN116519895B (en) * | 2023-04-20 | 2024-03-29 | 安徽禾美环保集团有限公司 | Water quality on-line monitoring analysis management system based on big data platform |
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Application publication date: 20190319 |