CN109342691A - The soil health intelligent monitor system in farmland monitoring region - Google Patents
The soil health intelligent monitor system in farmland monitoring region Download PDFInfo
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- CN109342691A CN109342691A CN201811123060.7A CN201811123060A CN109342691A CN 109342691 A CN109342691 A CN 109342691A CN 201811123060 A CN201811123060 A CN 201811123060A CN 109342691 A CN109342691 A CN 109342691A
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- 239000002689 soil Substances 0.000 title claims abstract description 68
- 238000012544 monitoring process Methods 0.000 title claims abstract description 34
- 230000036541 health Effects 0.000 title claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 19
- 238000013523 data management Methods 0.000 claims abstract description 12
- 238000007781 pre-processing Methods 0.000 claims abstract description 3
- 241000854291 Dianthus carthusianorum Species 0.000 claims description 52
- 230000002776 aggregation Effects 0.000 claims description 18
- 238000004220 aggregation Methods 0.000 claims description 18
- 230000005484 gravity Effects 0.000 claims description 10
- 238000005265 energy consumption Methods 0.000 claims description 6
- 230000004927 fusion Effects 0.000 claims description 6
- 238000012217 deletion Methods 0.000 claims description 5
- 230000037430 deletion Effects 0.000 claims description 5
- 238000012937 correction Methods 0.000 claims description 4
- 238000007726 management method Methods 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000005562 fading Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 2
- 238000007689 inspection Methods 0.000 claims 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims 2
- 229910001385 heavy metal Inorganic materials 0.000 claims 1
- 150000003839 salts Chemical class 0.000 claims 1
- 238000004364 calculation method Methods 0.000 description 6
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- 238000013461 design Methods 0.000 description 1
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- 230000006870 function Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
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- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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- H—ELECTRICITY
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- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
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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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Abstract
The present invention provides the soil health intelligent monitor systems in farmland monitoring region, comprising: monitoring modular is acquired for the soil quality parameter to reaction farm environment situation, and the soil quality parameter collected is sent to data processing module；Data processing module is configured as pre-processing received soil quality parameter, and is sent at data management module and is stored；Data management module is configured as being managed the data of storage；Data analyze comparison module, are configured as soil quality parameter being compared with the secure threshold of setting and export comparison result；Alarm module is configured as receiving the comparison result, and exports warning message to the user terminal of setting when soil quality parameter is greater than the secure threshold of setting.
Description
Technical field
The present invention relates to farmland monitoring technical fields, and in particular to the soil health intellectual monitoring system in farmland monitoring region
System.
Background technique
In the prior art, informationization technology is increasingly taken seriously in the development for pushing agricultural.Wireless sensor network
It is the important means for realizing IT application to agriculture, it is wireless sensor network technology collection sensor technology, micro electro mechanical system (MEMS) technology, wireless
The communication technology, embedding assembly technology and distributed information processing can pass through all kinds of microsensor nodes in one
Between cooperation, real-time perception and acquire monitored target information.
Summary of the invention
In view of the above-mentioned problems, the present invention provides the soil health intelligent monitor system in farmland monitoring region.
The purpose of the present invention is realized using following technical scheme:
Provide the soil health intelligent monitor system in farmland monitoring region, comprising:
Monitoring modular is acquired for the soil quality parameter to reaction farm environment situation, and will collect
Soil quality parameter is sent to data processing module；
Data processing module is configured as pre-processing received soil quality parameter, and is sent to data management
It is stored at module；
Data management module is configured as being managed the data of storage；
Data analyze comparison module, are configured as that soil quality parameter is compared and is exported with the secure threshold of setting
Comparison result；
Alarm module is configured as receiving the comparison result, and is greater than the secure threshold of setting in soil quality parameter
When to the user terminal of setting export warning message.
Preferably, the data management module includes:
Metadata management unit is configured as the addition, deletion and update of metadata；
Data fusion unit is configured as carrying out fusion treatment to related data；
Data query unit is configured as according to the customized querying condition real-time query related data of user；
The related data includes the soil quality parameter, the metadata.
The invention has the benefit that realizing the monitoring of agricultural land soil quality, will can be carried out the case where soil in real time
Record and analysis, the timely early warning when soil quality parameter is unsatisfactory for condition, improve farmland monitoring the degree of automation and
Accuracy of data acquisition.
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 the structure of the soil health intelligent monitor system in the farmland monitoring region of an illustrative embodiment of the invention
Schematic block diagram；
Fig. 2 is the structural schematic block diagram of the data processing module of an illustrative embodiment of the invention.
Appended drawing reference:
Monitoring modular 1, data processing module 2, data management module 3, data analysis comparison module 4, alarm module 5, number
According to amending unit 10, data filling unit 20.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, the embodiment of the invention provides the soil health intelligent monitor systems in farmland monitoring region, comprising:
Monitoring modular 1 is acquired for the soil quality parameter to reaction farm environment situation, and will collect
Soil quality parameter is sent to data processing module；Data processing module 2 is configured as carrying out received soil quality parameter
Pretreatment, and be sent at data management module 3 and stored；Data management module 3 is configured as carrying out the data of storage
Management；Data analyze comparison module 4, are configured as soil quality parameter being compared with the secure threshold of setting and export ratio
Relatively result；Alarm module 5 is configured as receiving the comparison result, and is greater than the secure threshold of setting in soil quality parameter
When to the user terminal of setting export warning message.
Wherein, the monitoring modular 1 includes single aggregation node and multiple sensor nodes, and sensor node deployment is in setting
In fixed monitoring region；When netinit, multiple cluster heads are chosen from sensor node, and according to the cluster head of selection by each biography
Sensor node is divided into multiple cluster groups；Sensor node acquires the soil quality parameter of monitored position, and soil quality is joined
Number single-hop is sent to corresponding cluster head；Cluster head is responsible for the reception and processing of soil quality parameter in cluster, and will treated soil
Mass parameter is sent to aggregation node by way of multi-hop, soil quality parameter is transferred to data processing by aggregation node
Module 2.
In a kind of mode in the cards, the data management module 3 includes:
Metadata management unit is configured as the addition, deletion and update of metadata；
Data fusion unit is configured as carrying out fusion treatment to related data；
Data query unit is configured as according to the customized querying condition real-time query related data of user；
The related data includes the soil quality parameter, the metadata.
In a kind of mode that can be realized, as shown in Fig. 2, data processing module 2 includes 10 sum number of data correction unit
According to shim 20, data correction unit 10 is configured as carrying out abnormality detection received soil quality parameter, and will test
Abnormal data out is modified processing；Data filling unit 20 is configured as carrying out missing detection to soil quality parameter, and
Data filling is carried out to the deletion sequence detected.
The agricultural land soil quality intelligent of the above embodiment of the present invention design reliably monitors system, realizes agricultural land soil quality
Monitoring, can the case where soil, be recorded and be analyzed in real time, the timely early warning when soil quality parameter is unsatisfactory for condition,
Improve the degree of automation and accuracy of data acquisition of farmland monitoring.
In a kind of mode that can be realized, sensor node sends energy consumption and uses free space loss model, and cluster head
Multipath fading model is used when being communicated between aggregation node；Multiple cluster heads are chosen in the slave sensor node, and
Each sensor node is divided into multiple cluster groups according to the cluster head of selection, comprising:
(1) the quantity m for setting cluster head, is averagely divided into m sub-regions for the monitoring region of setting；
(2) position of centre of gravity of each subregion is calculated according to the following formula:
In formula, ρbIndicate that the position of centre of gravity of b-th of subregion, b=1 ..., m, x (c) indicate in b-th of subregion
The abscissa of c-th of sensor node position, y (c) are the ordinate of c-th of sensor node position,
In using aggregation node as coordinate origin, nbThe sensor node number having for b-th of subregion；
(3) to each subregion, the probability that each sensor node in subregion serves as cluster head is calculated:
In formula, PbcThe probability of cluster head is served as c-th of sensor node of b-th of subregion,It is passed for described c-th
Sensor node and position of centre of gravity ρbDistance,For v-th of the sensor node and position of centre of gravity ρ of b-th of subregionbAway from
From nbThe sensor node number having for b-th of subregion；EbcFor the current residual of c-th of sensor node
Energy, EbminFor the minimum value of the current remaining of b-th of subregion inner sensor node, EbvFor v-th of sensor
The current remaining of node；μ1、μ2For preset weight coefficient, and meet μ1+μ2=1, μ1>1.2μ2；
(4) from the sensor node for the maximum probability for selecting to serve as cluster head in each subregion in a region as cluster
Head, cluster is added apart from nearest cluster head in the selection of remaining sensor node, to form multiple cluster groups.
The present embodiment is averagely divided into multiple subregions by that will monitor region, and calculates the center of gravity position of each subregion
It sets.The present embodiment proposes the calculation formula that each sensor node in subregion serves as the probability of cluster head, in the calculation formula, away from
There is the sensor node closer from place subregion position of centre of gravity, energy is more sufficient bigger probability to serve as cluster head.The present embodiment
From the sensor node of the maximum probability for selecting to serve as cluster head in each subregion in a region as cluster head, it can guarantee cluster
Head is evenly distributed in as far as possible in entire monitoring region, improves global optimum's performance of sub-clustering result, and be conducive to equilibrium
The energy consumption of cluster head improves the stability that cluster head carries out the work of soil quality parameter collection.
In one embodiment, aggregation node is believed by the current remaining that predetermined period obtains each sensor node
Breath, and energy measuring is carried out to each cluster group according to current remaining information, if it is detected that all the sensors node in cluster group A
Energy be below preset minimum energy threshold value, then cluster head of the aggregation node into cluster group A sends sub-clustering again and instructs, cluster
After head receives the instruction of sub-clustering again, the weight of each sensor node in cluster is calculated, the maximum sensor node of weight is selected to make
For another cluster head, and remaining sensor node broadcasts sub-clustering message into cluster, the sensor node for receiving sub-clustering message exist
It selects to be added apart from nearest cluster head in two cluster heads in cluster group A, so that cluster group A is divided into two cluster groups；Wherein, it sets
The calculation formula of weight are as follows:
In formula, WijIndicate that cluster head i corresponds to the weight of the sensor node j in cluster, i ≠ j, EijFor the sensor node j
Current remaining, EiminThe current remaining minimum value of cluster inner sensor node, E are corresponded to for cluster head i)kIt is i pairs of cluster head
Answer the current remaining of k-th of sensor node in cluster, n)The sensor node quantity in cluster, d are corresponded to for cluster head i)jFor cluster
Head i is at a distance from the sensor node j, dioIt is cluster head i at a distance from aggregation node, djoFor the sensor node j and converge
The distance of poly- node, dikIt is cluster head i at a distance from k-th of sensor node, dkoFor k-th of sensor node with
The distance of aggregation node, λ1、λ2, β be preset weight coefficient, and λ1+λ2=1,0.5≤β < 1.
When the energy of sensor node of the present embodiment in cluster group is all lower, innovatively by increasing cluster head quantity
Mode reduces the sensor node quantity in each cluster group.Each cluster head can be effectively reduced in energy deficiency in the present embodiment
The soil quality parameter amount of transmission guarantees the normal operation of system communication so that the energy consumption of cluster head be effectively reduced, and effectively extends soil
The period of earth mass parameter transmission work.The present embodiment proposes the selection mechanism of another cluster head, wherein setting the meter of weight
Calculate formula, by the calculation formula it is found that current remaining it is bigger, with aggregation node apart from closer and cluster head apart from farther away
There is sensor node bigger probability to be elected as another cluster head.According to another cluster head of Weight selected, be conducive to reduce increasing as far as possible
Energy consumption caused by bonus point cluster improves the stability of cluster head progress soil quality parameter collection work after sub-clustering.
In one embodiment, m is determined according to the following formula:
In formula, δ1For the power amplifier coefficient of energy dissipation based on free space loss model, δ2For the power amplifier based on multipath fading model
Coefficient of energy dissipation, N are the sensor node number of deployment, and S is the area in the monitoring region, dch,oFor sensor node to convergence
The average distance of node；Int is bracket function；DmaxFor maximum distance of the sensor node to aggregation node of deployment, DminFor
Minimum range of the sensor node of deployment to aggregation node, Dmax-1For deployment sensor node to aggregation node time greatly away from
From Dmin-1For deployment sensor node to aggregation node secondary small distance；η is the sub-district length of field set by expert.
The deployment scenario of actual conditions and sensor node of the present embodiment based on monitoring region, devises monitoring region
It is divided into the calculation formula of the number of subregion, the number of subregion is determined according to the calculation formula, relative to what is set at random
Mode optimizes cluster group number, be conducive to save net inner sensor node energy consumption, and then reduce soil quality parameter acquisition at
This.
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 (6)
1. the soil health intelligent monitor system in farmland monitoring region, characterized in that include:
Monitoring modular, the soil that is acquired for the soil quality parameter to reaction farm environment situation, and will collect
Mass parameter is sent to data processing module；
Data processing module is configured as pre-processing received soil quality parameter, and is sent to data management module
Place is stored；
Data management module is configured as being managed the data of storage；
Data analyze comparison module, are configured as compared with soil quality parameter is compared and is exported with the secure threshold of setting
As a result；
Alarm module is configured as receiving the comparison result, and when soil quality parameter is greater than the secure threshold of setting to
The user terminal of setting exports warning message；
Wherein, the monitoring modular includes single aggregation node and multiple sensor nodes, and sensor node deployment is in setting
It monitors in region；When netinit, multiple cluster heads are chosen from sensor node, and according to the cluster head of selection by each sensor
Node division is multiple cluster groups；Sensor node acquires the soil quality parameter of monitored position, and by soil quality parameter list
Jump is sent to corresponding cluster head；Cluster head is responsible for the reception and processing of soil quality parameter in cluster, and will treated soil quality
Parameter is sent to aggregation node by way of multi-hop, soil quality parameter is transferred to data processing mould by aggregation node
Block.
2. the soil health intelligent monitor system in farmland monitoring according to claim 1 region, characterized in that the data
Management module includes:
Metadata management unit is configured as the addition, deletion and update of metadata；
Data fusion unit is configured as carrying out fusion treatment to related data；
Data query unit is configured as according to the customized querying condition real-time query related data of user；
The related data includes the soil quality parameter, the metadata.
3. the soil health intelligent monitor system in farmland monitoring according to claim 1 or 2 region, characterized in that data
Processing module includes data correction unit, and data correction unit is configured as carrying out received soil quality parameter abnormal inspection
It surveys, and the abnormal data that will test out is modified processing.
4. the soil health intelligent monitor system in farmland monitoring according to claim 3 region, characterized in that data processing
Module further includes data filling unit, and data filling unit is configured as carrying out missing detection to soil quality parameter, and to inspection
The deletion sequence measured carries out data filling.
5. the soil health intelligent monitor system in farmland monitoring according to claim 1 region, characterized in that the sensing
Device node includes heavy metal-polluted soil sensor, soil moisture sensor, soil temperature sensor, soil acidity or alkalinity sensor, soil
One of earth salt sub-sensor, underground water heavy metal sensor, underground water temperature sensor or multiple sensors.
6. the soil health intelligent monitor system in farmland monitoring according to claim 1 region, characterized in that sensor section
Using multipath fading mould when putting and send energy consumption using free space loss model, and being communicated between cluster head and aggregation node
Type；Multiple cluster heads are chosen in the slave sensor node, and according to the cluster head of selection are divided into each sensor node multiple
Cluster group, comprising:
(1) the quantity m for setting cluster head, is averagely divided into m sub-regions for the monitoring region of setting；
(2) position of centre of gravity of each subregion is calculated according to the following formula:
In formula, ρbIndicate that the position of centre of gravity of b-th of subregion, b=1 ..., m, x (c) are indicated in b-th of subregion c-th
The abscissa of sensor node position, y (c) are the ordinate of c-th of sensor node position, wherein to converge
Poly- node is coordinate origin, nbThe sensor node number having for b-th of subregion；
(3) to each subregion, the probability that each sensor node in subregion serves as cluster head is calculated:
In formula, PbcThe probability of cluster head is served as c-th of sensor node of b-th of subregion,For c-th of sensor
Node and position of centre of gravity ρbDistance,For v-th of the sensor node and position of centre of gravity ρ of b-th of subregionbDistance, nb
The sensor node number having for b-th of subregion；EbcFor the current remaining of c-th of sensor node,
EbminFor the minimum value of the current remaining of b-th of subregion inner sensor node, EbvFor v-th of sensor node
Current remaining；μ1、μ2For preset weight coefficient, and meet μ1+μ2=1, μ11.2 μ of >2；
(4) from the sensor node for the maximum probability for selecting to serve as cluster head in each subregion in a region as cluster head,
Cluster is added apart from nearest cluster head in remaining sensor node selection, to form multiple cluster groups.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109413193A (en) * | 2018-11-08 | 2019-03-01 | 南京华渊农业科技有限公司 | Soil quality monitoring device for precision agriculture |
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