Nothing Special   »   [go: up one dir, main page]

CN107328916B - Effective soil environment monitoring system - Google Patents

Effective soil environment monitoring system Download PDF

Info

Publication number
CN107328916B
CN107328916B CN201710687658.8A CN201710687658A CN107328916B CN 107328916 B CN107328916 B CN 107328916B CN 201710687658 A CN201710687658 A CN 201710687658A CN 107328916 B CN107328916 B CN 107328916B
Authority
CN
China
Prior art keywords
sensor
cluster head
base station
node
cluster
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201710687658.8A
Other languages
Chinese (zh)
Other versions
CN107328916A (en
Inventor
潘荣兰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CHINA CHEMICAL ENGINEERING HEAVY MECHANIZATION Co.,Ltd.
Original Assignee
China Chemical Engineering Heavy Mechanization Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Chemical Engineering Heavy Mechanization Co ltd filed Critical China Chemical Engineering Heavy Mechanization Co ltd
Priority to CN201710687658.8A priority Critical patent/CN107328916B/en
Publication of CN107328916A publication Critical patent/CN107328916A/en
Application granted granted Critical
Publication of CN107328916B publication Critical patent/CN107328916B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/24Earth materials
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING 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
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Chemical & Material Sciences (AREA)
  • Food Science & Technology (AREA)
  • Biochemistry (AREA)
  • Geology (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Medicinal Chemistry (AREA)
  • Environmental & Geological Engineering (AREA)
  • Analytical Chemistry (AREA)
  • Remote Sensing (AREA)
  • General Health & Medical Sciences (AREA)
  • Signal Processing (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)

Abstract

The utility model provides an effectual soil environment monitoring system, includes sensor detection module, wireless transmission module and remote monitering system, sensor detection module comprises the sensor node for arrange the parameter information of gathering soil in the different positions department of green house, wireless transmission module is used for the data transmission between sensor detection module and the remote monitering system, the remote monitering system sends the order to sensor detection module through wireless transmission module, and the control sensor node is sampled. The invention has the beneficial effects that: in the sensor network, an improved LEACH algorithm is adopted, the energy value of a sensor node and the distance from a base station are comprehensively considered to realize the selection of a cluster head in the network, and a non-cluster-head sensor node is added into a proper cluster; in the data transmission process, the appropriate relay nodes are selected to realize that the sensor nodes complete data transmission through mutual cooperation, so that the communication overhead of a network is reduced, and the energy consumption of the sensor nodes is balanced.

Description

Effective soil environment monitoring system
Technical Field
The invention relates to the technical field of soil monitoring, in particular to an effective soil environment monitoring system.
Background
Soil environment monitoring is closely related to human agricultural production activities, and monitoring of the soil environment can help people know the environmental change of the soil in real time so that people can timely deal with specific problems. The soil environment monitoring index measurement requires synchronization and continuity in time, requires a large range of light and measurement in space, and needs to maintain lower manpower and equipment cost, the prior art and the method are difficult to meet the conditions, and the wireless sensor network has the remarkable advantages of high monitoring precision, low power consumption, low cost, good real-time performance, high capacity, continuous synchronous monitoring, large coverage area and the like, and can realize real-time automatic measurement and automatic transmission of the soil environment monitoring index.
Disclosure of Invention
In view of the above problems, the present invention aims to provide an effective soil environment monitoring system.
The purpose of the invention is realized by the following technical scheme:
the utility model provides an effectual soil environment monitoring system, includes sensor detection module, wireless transmission module and remote monitering system, sensor detection module comprises the sensor node for arrange the parameter information of gathering soil in the different positions department of green house, wireless transmission module is used for the interaction of information between sensor detection module and the remote monitering system, the parameter information that sensor detection module gathered passes through wireless transmission module sends the remote monitering system, the data that the remote monitering system received wireless transmission module and sent realizes the all-weather real-time supervision to soil environment in the monitoring area to send the order to sensor detection module through wireless transmission module, control sensor node and sample.
The beneficial effects created by the invention are as follows: the method comprises the steps that effective monitoring of the soil environment is achieved through a wireless sensor technology, an improved LEACH algorithm is adopted in a sensor network, the energy value of a sensor node and the distance from a base station are comprehensively considered, the selection of a cluster head in the network is achieved, and a non-cluster-head sensor node is added into a proper cluster; in the data transmission process, the appropriate relay nodes are selected to realize that the sensor nodes complete data transmission through mutual cooperation, so that the communication overhead of a network is reduced, and the energy consumption of the sensor nodes is balanced.
Drawings
The invention is further described with the aid of the accompanying drawings, in which, however, the embodiments do not constitute any limitation to the invention, and for a person skilled in the art, without inventive effort, further drawings may be derived from the following figures.
FIG. 1 is a schematic structural view of the present invention;
fig. 2 is a schematic structural diagram of a wireless transmission module according to the present invention.
Reference numerals:
a sensor detection module 1; a wireless transmission module 2; a remote monitoring system 3; a route setting unit 21; a node management unit 22.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1 and 2, the effective soil environment monitoring system of the embodiment includes a sensor detection module, a wireless transmission module and a remote monitoring system, wherein the sensor detection module is composed of sensor nodes and is used for collecting parameter information of soil at different positions of an agricultural greenhouse, the wireless transmission module is used for information interaction between the sensor detection module and the remote monitoring system, the parameter information collected by the sensor detection module is transmitted to the remote monitoring system through the wireless transmission module, the remote monitoring system receives data transmitted by the wireless transmission module, realizes all-weather real-time monitoring of soil environment in a monitored area, and transmits a command to the sensor detection module through the wireless transmission module to control the sensor nodes to sample.
Preferably, the sensor detection module 1 includes a temperature sensor, an organic matter concentration sensor, a hydrolysis nitrogen sensor, and a humidity sensor.
In the embodiment, the effective monitoring of the soil environment is realized through a wireless sensor technology, an improved LEACH algorithm is adopted in a sensor network, the energy value of a sensor node and the distance from a base station are comprehensively considered, the selection of a cluster head in the network is realized, and a non-cluster-head sensor node is added into a proper cluster; in the data transmission process, the appropriate relay nodes are selected to realize that the sensor nodes complete data transmission through mutual cooperation, so that the communication overhead of a network is reduced, and the energy consumption of the sensor nodes is balanced.
Preferably, the wireless transmission module 2 includes a route setting unit 21 and a node management unit 22, where the route setting unit 21 clusters the sensor nodes by using an improved LEACH algorithm, and the node management unit 22 is configured to select a suitable relay node to implement data transmission.
Preferably, the routing setting unit 21 clusters the sensor nodes by using an improved LEACH algorithm, which specifically includes:
a. selecting a cluster head, namely determining the cluster head in a routing algorithm by improving a threshold value T (n) in a LEACH algorithm, and specifically:
Figure BDA0001377139340000031
wherein p is the percentage of all sensor nodes that become the cluster head node,
Figure BDA0001377139340000032
is the round number interval value, G is the set of candidate sensor nodes, ciIs the current energy value of the sensor node, CmIs the initial energy value of the sensor node,/ibIs the distance between the sensor node and the base station,
Figure BDA0001377139340000033
the distance average value between all candidate nodes and the base station is obtained;
b. the sensor nodes are clustered, and the sensor nodes are used for clustering the sensor nodes which are not clustered after the cluster head is determined, and defining the sensor node ciThe clustered cost function is K (i, j), and the calculation formula of the cost function K (i, j) is:
Figure BDA0001377139340000034
in the formula (d)ijIs a sensor node ciTo cluster head tjDistance of dmaxIs a sensor node ciMaximum distance to all clusterheads, ljIs the cluster head tjDistance value to base station, lmaxIs the maximum distance from all cluster heads to the base station, eiAnd EjAre respectively a sensor node ciAnd cluster head tjResidual energy value of e0And E0Are respectively a sensor node ciAnd cluster head tjA and B are weights of the parameters, respectively, and a + B is 1;
when the cost function K (i, j) of the sensor node i in the cluster is minimum, the sensor node c is enablediAdding cluster head tj
Compared with the traditional LEACH algorithm, the improved LEACH algorithm increases the probability that the sensor nodes with higher residual energy value become the cluster heads, and selects the sensor nodes with smaller distances to the sink nodes as the cluster heads, so that the problems of unbalanced energy consumption of each sensor node and uneven distribution of the cluster head nodes in the wireless sensor network are solved; in the sensor node clustering process, the distance from the sensor node to the cluster head, the energy values of the sensor node and the cluster head and the distance from the cluster head to the base station are introduced to construct a cost function for the sensor node to select the cluster head, and the cluster head with the minimum cost function is selected to join, so that the energy consumption of the sensor node in the data transmission process is reduced, the overall energy consumption of a network is reduced, and the service life of the network is prolonged.
Preferably, the node management unit 22 is configured to select a suitable relay node according to a distance between the cluster head and the base station to implement data transmission, and define the cluster head tmDistance to base station b is l (t)mB) cluster head tmHas an average distance of all neighboring cluster heads to the base station b of
Figure BDA0001377139340000035
Then:
(1) when in use
Figure BDA0001377139340000036
The data packet is sent by the cluster head tmDirectly transmitting to the base station b;
(2) when in use
Figure BDA0001377139340000037
Time, cluster head tmSelecting a cluster head tnTransmitting data packets to base station b as a relay node, defining a relay node tnHas a payment function of f (t)n) When paying function f (t)n) At the minimum, the cluster head t is selectednAs the relay node, specifically:
Figure BDA0001377139340000041
in the formula, l (t)n,tm) Is a cluster head tnTo cluster head tmA distance value of l (t)nB) is the clusterhead tnThe value of the distance to the base station,
Figure BDA0001377139340000042
is a cluster head tmThe average distance value to all the neighbor cluster heads,
Figure BDA0001377139340000043
is a cluster head tmIs the average distance value from all the neighbor cluster heads to the base station, n (t)n) Is a cluster head tnThe amount of unit energy consumed to transmit a packet to a base station,
Figure BDA0001377139340000044
is a cluster head tmC (t) is the average unit energy value consumed by all neighbor cluster heads to transmit data packets to the base stationn) Is a cluster head tnThe number of transmitted packets, C (B) is the number of packets received by base station B, A, B and C are weighting coefficients, and a + B + C is 1.
In the preferred embodiment, the relay nodes are adopted to realize that the sensor nodes complete data transmission through mutual cooperation, in the selection process of the relay nodes, the energy value of the nodes, the distance from the base station and the number of transmission data packets are comprehensively considered, the payment function of the cluster head is calculated, and the cluster head with the minimum payment function value is selected as the relay node, so that the communication overhead of the network is reduced, and the energy consumption of the sensor nodes is balanced.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (3)

1. The effective soil environment monitoring system is characterized by comprising a sensor detection module, a wireless transmission module and a remote monitoring system, wherein the sensor detection module consists of sensor nodes and is used for monitoring the soil environmentThe wireless transmission module is arranged at different positions of the agricultural greenhouse for collecting the parameter information of the soil, the wireless transmission module is used for the information interaction between the sensor detection module and the remote monitoring system, the parameter information acquired by the sensor detection module is sent to a remote monitoring system through the wireless transmission module, the remote monitoring system receives the data sent by the wireless transmission module, realizes all-weather real-time monitoring of the soil environment in the monitoring area, and sends a command to the sensor detection module through the wireless transmission module to control the sensor node to sample, the wireless transmission module comprises a route setting unit and a node management unit, the route setting unit adopts an improved LEACH algorithm to cluster the sensor nodes, the node management unit is used for selecting a proper relay node to realize data transmission and defining a cluster head t.mDistance to base station b is l (t)mB) cluster head tmHas an average distance of all neighboring cluster heads to the base station b of
Figure FDA0002086171100000011
Then:
(1) when in use
Figure FDA0002086171100000012
The data packet is sent by the cluster head tmDirectly transmitting to the base station b;
(2) when in use
Figure FDA0002086171100000013
Time, cluster head tmSelecting a cluster head tnTransmitting data packets to base station b as a relay node, defining a relay node tnHas a payment function of f (t)n) When paying function f (t)n) At the minimum, the cluster head t is selectednAs the relay node, specifically:
Figure FDA0002086171100000014
in the formula, l (t)n,tm) Is a cluster head tnTo cluster head tmDistance value of,l(tnB) is the clusterhead tnThe value of the distance to the base station,
Figure FDA0002086171100000015
is a cluster head tmThe average distance value to all the neighbor cluster heads,
Figure FDA0002086171100000016
is a cluster head tmIs the average distance value from all the neighbor cluster heads to the base station, n (t)n) Is a cluster head tnThe amount of unit energy consumed to transmit a packet to a base station,
Figure FDA0002086171100000017
is a cluster head tmC (t) is the average unit energy value consumed by all neighbor cluster heads to transmit data packets to the base stationn) Is a cluster head tnThe number of transmitted packets, C (B) is the number of packets received by base station B, A, B and C are weighting coefficients, and a + B + C is 1.
2. An effective soil environment monitoring system as claimed in claim 1, wherein said sensor detection module comprises a temperature sensor, an organic matter concentration sensor, a hydrolysis nitrogen sensor and a humidity sensor.
3. The system of claim 2, wherein the routing unit clusters the sensor nodes using a modified LEACH algorithm, and comprises:
a. selecting a cluster head, namely determining the cluster head in a routing algorithm by improving a threshold value T (n) in a LEACH algorithm, and specifically:
Figure FDA0002086171100000021
wherein p is the percentage of all sensor nodes that become the cluster head node,
Figure FDA0002086171100000022
is the round interval value, G is the set of candidate nodes, ciIs the current energy value of the sensor node, CmIs the initial energy value of the sensor node,/ibIs the distance between the sensor node and the base station,
Figure FDA0002086171100000023
is the average value of the distances from all candidate nodes to the base station;
b. the sensor nodes are clustered, and the sensor nodes are used for clustering the sensor nodes which are not clustered after the cluster head is determined, and defining the sensor node ciThe clustered cost function is K (i, j), and the calculation formula of the cost function K (i, j) is:
Figure FDA0002086171100000024
in the formula (d)ijIs a sensor node ciTo cluster head tjDistance of dmaxIs a sensor node ciMaximum distance to all clusterheads, ljIs the cluster head tjDistance value to base station, lmaxIs the maximum distance from all cluster heads to the base station, eiAnd EjAre respectively a sensor node ciAnd cluster head tjResidual energy value of e0And E0Are respectively a sensor node ciAnd cluster head tjA and B are weights of the parameters, respectively, and a + B is 1;
when sensor node ciWhen the clustered cost function K (i, j) is minimum, the sensor node c is enablediAdding cluster head tj
CN201710687658.8A 2017-08-11 2017-08-11 Effective soil environment monitoring system Active CN107328916B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710687658.8A CN107328916B (en) 2017-08-11 2017-08-11 Effective soil environment monitoring system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710687658.8A CN107328916B (en) 2017-08-11 2017-08-11 Effective soil environment monitoring system

Publications (2)

Publication Number Publication Date
CN107328916A CN107328916A (en) 2017-11-07
CN107328916B true CN107328916B (en) 2020-05-08

Family

ID=60226240

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710687658.8A Active CN107328916B (en) 2017-08-11 2017-08-11 Effective soil environment monitoring system

Country Status (1)

Country Link
CN (1) CN107328916B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108566808B (en) * 2018-03-20 2021-07-30 南京溧水高新产业股权投资有限公司 Remote intelligent control system for irrigation
CN109254136A (en) * 2018-09-19 2019-01-22 广州市花林景观工程有限公司 Soil environment intelligent monitor system
CN109269632B (en) * 2018-10-17 2021-08-31 东莞绿邦智能科技有限公司 Intelligent real-time monitoring system for arch dams used in water conservancy and hydropower projects
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
CN111918234B (en) * 2019-11-14 2022-07-29 武汉伏佳安达电气技术有限公司 Accurate wire and cable safety state evaluation system
CN111894046B (en) * 2020-06-22 2021-09-28 中国化学工程重型机械化有限公司 Cutting construction monitoring system
CN114222344A (en) * 2021-12-09 2022-03-22 国网江苏省电力有限公司电力科学研究院 A wireless sensor network data transmission method and device

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102547904A (en) * 2012-02-28 2012-07-04 山东大学 Leach protocol-based cluster head election improved algorithm
CN103826282B (en) * 2014-02-24 2017-06-30 南昌大学 Set based on dump energy divides multi-hop routing method
CN105978941A (en) * 2016-04-25 2016-09-28 阜阳师范学院 Wireless sensor network node energy conservation monitoring method based on farmland soil moisture monitoring
CN106686686B (en) * 2016-09-23 2023-03-24 东南大学 Wireless sensor network ad hoc network method for crop greenhouse cultivation
CN106899670A (en) * 2017-02-23 2017-06-27 上海耐相智能科技有限公司 Based on big data pest and disease monitoring early warning system
CN106850826A (en) * 2017-02-23 2017-06-13 上海喆之信息科技有限公司 Long-distance management system outside a kind of medical institute
CN106900025B (en) * 2017-03-15 2020-11-06 重庆邮电大学 A Clustering Routing Method for Wireless Sensor Networks Based on Dual Cluster Heads

Also Published As

Publication number Publication date
CN107328916A (en) 2017-11-07

Similar Documents

Publication Publication Date Title
CN107328916B (en) Effective soil environment monitoring system
Feng Research on water-saving irrigation automatic control system based on internet of things
CN106131770B (en) A kind of data fusion method of the wireless sensor network for greenhouse
CN201839317U (en) Tunnel safety quick detection system based on wireless sensor network
CN108064065A (en) A kind of long-distance water quality monitoring system based on wireless sensor network
Watteyne et al. Peach: Predicting frost events in peach orchards using iot technology
CN202663556U (en) Wireless real-time greenhouse supervision and management system based on Zigbee technology
CN111314473A (en) Environmental monitoring system based on artificial intelligence
CN104316105A (en) Tunnel environment monitoring system
CN102098801A (en) Method for acquiring wireless sensor network data of farmland ecological environment information
CN107465746A (en) A kind of dust storm monitoring system based on wireless sensor network
CN104361727A (en) Tunnel environment monitoring method based on wireless sensor network
CN107801169A (en) A kind of farmland pollution monitoring system based on wireless sensor network
CN101848240A (en) System and method for monitoring parameters of watermelon seedling raising environment
Ding et al. Environment monitoring and early warning system of facility agriculture based on heterogeneous wireless networks
CN104656710A (en) Internet-of-things agricultural greenhouse digital control system
CN205105253U (en) Agricultural service system based on mobile internet
CN109151753B (en) Intelligent monitoring system for high-voltage transmission network
CN111047812A (en) Forest fire prevention monitoring device and monitoring method based on wireless sensor network
CN103297509A (en) Monitoring system based on solar wireless sensing nodes
Kanupuru et al. Survey on IoT and its Applications in Agriculture
CN104483936A (en) Wireless network information collection platform of wireless data access system
CN110493745B (en) Test subject analysis system based on artificial intelligence technology
CN205681555U (en) A kind of weather radar video monitoring system based on wireless sense network
CN112362102A (en) Monitoring system for immediately monitoring agricultural production environment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right

Effective date of registration: 20200414

Address after: 102600 Huang Cun Zhen Nan Da Zhuang Cun Dong, Daxing District, Beijing

Applicant after: CHINA CHEMICAL ENGINEERING HEAVY MECHANIZATION Co.,Ltd.

Address before: 510000 Licheng Avenue, Licheng Street, Zengcheng District, Guangzhou City, Guangdong Province, 137

Applicant before: Pan Ronglan

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant