CN107018483A - A kind of intelligent agricultural greenhouse monitoring system - Google Patents
A kind of intelligent agricultural greenhouse monitoring system Download PDFInfo
- Publication number
- CN107018483A CN107018483A CN201710400855.7A CN201710400855A CN107018483A CN 107018483 A CN107018483 A CN 107018483A CN 201710400855 A CN201710400855 A CN 201710400855A CN 107018483 A CN107018483 A CN 107018483A
- Authority
- CN
- China
- Prior art keywords
- node
- monitoring sensor
- environment
- candidate
- network
- 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.)
- Pending
Links
Classifications
-
- 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
-
- 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
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
- H04W40/248—Connectivity information update
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a kind of intelligent agricultural greenhouse monitoring system, including greenhouse monitoring center, network communication module, control module, the information acquisition module based on wireless sensor network, described greenhouse monitoring center is communicated by network communication module with control module, and control module is electrically connected with the multiple equipment in agricultural greenhouse;Described information acquisition module is used to be monitored the environment of agricultural greenhouse by wireless sensor network, gathers ambient parameter data and ambient parameter data is sent into greenhouse monitoring center;Described greenhouse monitoring center receives described ambient parameter data, and judge whether to meet default ambient parameter condition, when a certain ambient parameter value is unsatisfactory for default ambient parameter condition, control instruction is sent to the controller by network communication module, corresponding equipment running is controlled.
Description
Technical field
The present invention relates to agricultural technology field, and in particular to a kind of intelligent agricultural greenhouse monitoring system.
Background technology
In correlation technique, agricultural greenhouse is mainly managed by way of manually detecting and safeguarding.Greenhouse administrative staff
Want to know the information such as the humiture of air in canopy, illumination, the humiture of soil must by check in person canopy temperature meter,
Humidity display instrument, illumination detection device etc. obtain the growing environment information of crop in current canopy, and to the growth ring of crops
Border is artificially adjusted.Its production efficiency is low, and intelligence degree is not high, wastes substantial amounts of human and material resources.
The content of the invention
In view of the above-mentioned problems, the present invention provides a kind of intelligent agricultural greenhouse monitoring system.
The purpose of the present invention is realized using following technical scheme:
There is provided a kind of intelligent agricultural greenhouse monitoring system, including greenhouse monitoring center, network communication module, control mould
Block, the information acquisition module based on wireless sensor network, described greenhouse monitoring center pass through network communication module and control
Module communicates, and control module is electrically connected with the multiple equipment in agricultural greenhouse;Described information acquisition module is used for by wireless
Sensor network is monitored to the environment of agricultural greenhouse, gathers ambient parameter data and ambient parameter data is sent into greenhouse
Monitoring center;Described greenhouse monitoring center receives described ambient parameter data, and judges whether to meet default environment ginseng
Said conditions, when a certain ambient parameter value is unsatisfactory for default ambient parameter condition, by network communication module to the control
Device sends control instruction, controls corresponding equipment running.
Beneficial effects of the present invention are:The production environment data in agricultural greenhouse can be obtained in real time, and intelligentized control method is big
The running of equipment in canopy is there is provided precision agricultural production and visualized management, and intelligence degree is high.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings
Other accompanying drawings.
The structured flowchart of Fig. 1 present invention;
Fig. 2 is the connection block diagram of greenhouse monitoring center of the present invention.
Reference:
Greenhouse monitoring center 1, network communication module 2, control module 3, information acquisition module 4, display module 10, instruction hair
Send module 20.
Embodiment
The invention will be further described with the following Examples.
A kind of intelligent agricultural greenhouse monitoring system provided referring to Fig. 1, Fig. 2, the present embodiment, including greenhouse monitoring center 1,
Network communication module 2, control module 3, the information acquisition module 4 based on wireless sensor network, described greenhouse monitoring center 1
Communicated by network communication module 2 with control module 3, control module 3 is electrically connected with the multiple equipment in agricultural greenhouse;Described
Information acquisition module 4 is used to be monitored the environment of agricultural greenhouse by wireless sensor network, gathers ambient parameter data
And ambient parameter data is sent to greenhouse monitoring center 1;Described greenhouse monitoring center 1 receives described ambient parameter number
According to, and judge whether to meet default ambient parameter condition, when a certain ambient parameter value is unsatisfactory for default ambient parameter condition
When, control instruction is sent to the controller by network communication module 2, corresponding equipment running is controlled.
Preferably, the ambient parameter data includes soil temperature and humidity, the CO of air in agricultural greenhouse2Concentration and illumination
Intensity;The multiple equipment includes watering device, roller shutter equipment, firing equipment, Fan Equipment, is preset when the humiture is less than
Minimum humiture when, control module 3 controls the firing equipment and watering device to open, as the CO2Concentration is more than default
Highest CO2The Fan Equipment is controlled to open during concentration, when the intensity of illumination is more than default maximum light intensity, control
Make the roller shutter opening of device.
Preferably, the greenhouse monitoring center 1 includes display module 10 and instruction sending module 20, the display module 10
It is connected with described information acquisition module 4, for showing the ambient parameter data that described information acquisition module 4 is gathered, the instruction
Sending module 20 is connected with the wireless telecommunications of control module 3, for sending control instruction to the control module 3.
The above embodiment of the present invention can be obtained in the production environment data in agricultural greenhouse, intelligentized control method greenhouse in real time
Equipment running there is provided precision agricultural production and visualized management, intelligence degree is high.
Preferably, the wireless sensor network uses following network models:Wireless sensor network is by multiple environment
Monitoring sensor node and a mobile base station composition, each environment monitoring sensor node have identical communication radius;It is mobile
The renewal of base station state information and the foundation of network route are confined to backbone network with maintenance, i.e. environment monitoring sensor node is arrived
The route of mobile base station is carried out only in accordance with the environment monitoring sensor node in backbone network, for remaining ring outside backbone network
Border monitoring sensor node, the data that they are monitored are sent to the environment monitoring sensor section in closest backbone network
Point, and then mobile base station is sent to, described greenhouse monitoring center 1 communicates to connect with mobile base station, so as to obtain mobile base station
The ambient parameter data of collection.
Preferably, described backbone network is built using improved backbone network developing algorithm, is specifically included:
(1) the domination node of backbone network is selected in environment monitoring sensor node;
(2) each node that dominates confirms other domination nodes thirdly in jumping, and other domination nodes are connected as candidate
Node is dominated, and corresponding selection is connected the connecting node dominated needed for node is attached with candidate, so as to obtain the domination section
A plurality of candidate's access path of point;
(3) each node that dominates sends a plurality of candidate's connection path information of acquisition to mobile base station, and wherein candidate connects
Connect routing information and dominate node and corresponding connecting node including candidate's connection, mobile base station is optimal each to dominate node selection
Candidate's access path is attached with corresponding domination node, is ultimately formed with minimum environment monitoring sensor interstitial content
Backbone network, be specially:
1) using each domination node as learning automaton, using each corresponding candidate's access path of each domination node as dynamic
Make, form behavior aggregate, be expressed asWherein DαTo dominate the behavior aggregate of node alpha,To dominate candidate's access path set of node alpha, nαRepresent to dominate candidate's access path that node alpha has
Quantity;
2) action probability vector when initialization study number of times, first time selection candidate's access path, and selection candidate
The estimation desired value of reward can be obtained during access path from environment;
3) in kth time study, learning automaton selects candidate's access path according to action probability vector P (k)
4) learning automaton obtains feedback W (k) from environment, and according to following equation to estimating that the value of desired value is carried out more
Newly:
Wherein
In formula,Represent to dominate node alpha selection candidate's access pathWhen corresponding estimation desired value more
New value,Represent to carry out dominating node alpha selection candidate's access path after k studyWhen the number of times of reward is obtained from environment,Represent to carry out candidate's access path after k studySelected number of times;NkTo be connected by all candidates currently selected
Connect the quantity that path connects environment monitoring sensor node in the backbone network to be formed, NmRepresent what up to the present connection was formed
Minimum environment monitoring sensor node number in backbone network;During W (k)=1, represent that learning automaton is encouraged from environment
Encourage, during W (k)=0, represent that learning automaton there is no reward from environment;
5) value of the action probability vector P (k+1) in learning process next time according to the following formula, is updated:
In formula,For value function, whenRelative to estimation desired value value before most
When big,Otherwise
If 6) meet the end condition of setting, candidate's access path that domination node is currently chosen is used as the optimal of selection
Candidate's access path, otherwise, study number of times k go to step 3 from increasing 1), wherein the end condition set as:Each learning automaton
Study number of times be more than the frequency threshold value of setting or in nearest 3 study, connect what is included in the backbone network formed
Environment monitoring sensor interstitial content does not change.
In this preferred embodiment, the backbone network of above-mentioned structure, can the status information for meeting mobile base station renewal
With the environment monitoring sensor interstitial content that includes of backbone network is minimized under the demand of rerouting, so as on the whole
The communication overhead of wireless sensor network is reduced, the efficiency that wireless sensor network carries out ambient parameter data collection is improved, drop
The operating cost of low intelligent agricultural greenhouse monitoring system.
Preferably, described corresponding selection is connected the connecting node dominated needed for node is attached, specific bag with candidate
Include:
(1) obtain domination node and domination all access paths of node are connected with candidate, be expressed as:
Wherein,Represent to dominate node SΦDomination node is connected with its candidateBetween the ε articles link road
Footpath;
(2) calculate according to the following formula and dominate the preferred value that node is connected all paths for dominating node connection with candidate,
Choose preferred value and be connected the optimal path for dominating node connection with candidate as the domination node for maximum path:
In formula,Represent to dominate node SΦDomination node is connected with its candidateBetween the ε articles access path
Preferred value,ForIncluded in connecting node number,RepresentIn
The neighbor node number that the B connecting node has, Ψ1、Ψ2For the weight coefficient of setting, and meet Ψ1+Ψ2=1;
(3) connecting node in the optimal path chosen is described required connecting node.
This preferred embodiment set dominate node and thirdly jump in other dominate nodes between connecting node choosing
Rule is taken, the recycling of connecting node is advantageously implemented, the scale of backbone network is reduced, and bone can be improved on the whole
The structure speed of dry network, thus advantageously reduce intelligent agricultural greenhouse monitoring system in terms of ambient parameter data collection into
This, and improve efficiency of the intelligent agricultural greenhouse monitoring system in terms of ambient parameter data collection.
Preferably, the domination node and connecting node that backbone network is selected in environment monitoring sensor node,
Specifically include:
(1) sequential value is assigned according to the following formula to each environment monitoring sensor node:
In formula, R (Si) represent i-th of environment monitoring sensor node SiSequential value,Represent environment monitoring sensor
Node SiNeighbor node number, i represents the node number of environment monitoring sensor node set in advance,Represent i-th of ring
Border monitoring sensor node SiResidual energy value, QTFor the residual energy value threshold value of setting;
(2) each environment monitoring sensor node is to its neighbor node turnaround sequence value information;
(3) if environment monitoring sensor node meets following domination node election contest conditions, election contest is the branch of backbone network
With node, and to neighbor node talkathon success message, receive the environment monitoring sensor node of election contest success message into
To expand node, if environment monitoring sensor node is unsatisfactory for dominating node election contest condition, as ordinary node:
Or
As R (Siμ) > R (Si),When, SiμTo expand node;
In formula, R (Sij) it is environment monitoring sensor node SiA hop neighbor node in j-th of neighbor node sequence
Value,For environment monitoring sensor node SiA hop neighbor node quantity,Represent that environmental monitoring is passed
Sensor node SiA hop neighbor node set;
(4) expand node and dominate node election contest message to the broadcast of its neighbor node, receive and dominate node election contest message
Environment monitoring sensor node participates in the domination node election contest of backbone network according to node election contest condition is dominated.
This preferred embodiment has refined the selection mode for dominating node, improves the structure speed of backbone network;Choose branch
During with node, it is contemplated that the neighbours' quantity and residual energy value factor of environment monitoring sensor node so that the domination section selected
Point has preferably performance, so as to meet the prison for building backbone network and being sent to adjacent ambient monitoring sensor node
The demand that data are received is surveyed, ensures that the environmental monitoring data in the greenhouse gathered in intelligent agricultural greenhouse monitoring system can
Effectively collect.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than to present invention guarantor
The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (6)
1. a kind of intelligent agricultural greenhouse monitoring system, it is characterized in that, including greenhouse monitoring center, network communication module, control mould
Block, the information acquisition module based on wireless sensor network, described greenhouse monitoring center pass through network communication module and control
Module communicates, and control module is electrically connected with the multiple equipment in agricultural greenhouse;Described information acquisition module is used for by wireless
Sensor network is monitored to the environment of agricultural greenhouse, gathers ambient parameter data and ambient parameter data is sent into greenhouse
Monitoring center;Described greenhouse monitoring center receives described ambient parameter data, and judges whether to meet default environment ginseng
Said conditions, when a certain ambient parameter value is unsatisfactory for default ambient parameter condition, by network communication module to the control
Device sends control instruction, controls corresponding equipment running.
2. a kind of intelligent agricultural greenhouse monitoring system according to claim 1, it is characterized in that, the ambient parameter data bag
Include soil temperature and humidity, the CO of air in agricultural greenhouse2Concentration and intensity of illumination;The multiple equipment includes watering device, volume
Curtain equipment, firing equipment, Fan Equipment, when the humiture is less than default minimum humiture, control module control is described
Firing equipment and watering device are opened, as the CO2Concentration is more than default highest CO2The Fan Equipment is controlled to open during concentration
Open, when the intensity of illumination is more than default maximum light intensity, control the roller shutter opening of device.
3. a kind of intelligent agricultural greenhouse monitoring system according to claim 2, it is characterized in that, the greenhouse monitoring center bag
Display module and instruction sending module are included, the display module is connected with described information acquisition module, for showing described information
The ambient parameter data of acquisition module collection, the instruction sending module is connected with the control module wireless telecommunications, for
The control module sends control instruction.
4. a kind of intelligent agricultural greenhouse monitoring system according to claim 1, it is characterized in that, the wireless sensor network
Using following network models:Wireless sensor network is made up of multiple environment monitoring sensor nodes and a mobile base station,
Each environment monitoring sensor node has identical communication radius;The renewal of mobile base station status information and the foundation of network route
Backbone network, i.e. environment monitoring sensor node are confined to the route of mobile base station only in accordance with the ring in backbone network with maintenance
Border monitoring sensor node is carried out, for remaining environment monitoring sensor node outside backbone network, the data that they are monitored
The environment monitoring sensor node in closest backbone network is sent to, and then is sent to mobile base station, described greenhouse
Monitoring center communicates to connect with mobile base station, so as to obtain the ambient parameter data of mobile base station collection.
5. a kind of intelligent agricultural greenhouse monitoring system according to claim 4, it is characterized in that, using improved backbone network
Developing algorithm builds described backbone network, specifically includes:
(1) the domination node of backbone network is selected in environment monitoring sensor node;
(2) each node that dominates confirms other domination nodes thirdly in jumping, and other domination nodes are connected as candidate and dominated
Node, and corresponding selection is connected the connecting node dominated needed for node is attached with candidate, so as to obtain the domination node
A plurality of candidate's access path;
(3) each node that dominates sends a plurality of candidate's connection path information of acquisition to mobile base station, wherein candidate's link road
Footpath information includes candidate's connection and dominates node and corresponding connecting node, and mobile base station dominates node selection best candidate to be each
Access path is attached with corresponding domination node, ultimately forms the backbone with minimum environment monitoring sensor interstitial content
Network, be specially:
1) using each domination node as learning automaton, using each corresponding candidate's access path of each domination node as action,
Behavior aggregate is formed, is expressed asWherein DαTo dominate the behavior aggregate of node alpha,
To dominate candidate's access path set of node alpha, nαRepresent to dominate candidate's access path quantity that node alpha has;
2) action probability vector when initialization study number of times, first time selection candidate's access path, and selection candidate's connection
The estimation desired value of reward can be obtained during path from environment;
3) in kth time study, learning automaton selects candidate's access path according to action probability vector P (k)
4) learning automaton obtains feedback W (k) from environment, and according to following equation to estimating that the value of desired value is updated:
Wherein
In formula,Represent to dominate node alpha selection candidate's access pathWhen corresponding estimation desired value renewal
Value,Represent to carry out dominating node alpha selection candidate's access path after k studyWhen the number of times of reward is obtained from environment,Represent to carry out candidate's access path after k studySelected number of times;NkTo be connected by all candidates currently selected
Connect the quantity that path connects environment monitoring sensor node in the backbone network to be formed, NmRepresent what up to the present connection was formed
Minimum environment monitoring sensor node number in backbone network;During W (j)=1, represent that learning automaton is encouraged from environment
Encourage, during W (k)=0, represent that learning automaton there is no reward from environment;
5) value of the action probability vector P (k+1) in learning process next time according to the following formula, is updated:
In formula,For value function, whenRelative to estimation desired value value maximum before
When,Otherwise
If 6) meet the end condition of setting, best candidate of the candidate's access path that domination node is currently chosen as selection
Access path, otherwise, study number of times k go to step 3 from increasing 1), wherein the end condition set as:Each learning automaton
Practise number of times and be more than the frequency threshold value of setting or in 3 times nearest study, connect the environment included in the backbone network formed
Monitoring sensor node number does not change.
6. a kind of intelligent agricultural greenhouse monitoring system according to claim 5, it is characterized in that, it is described to be passed in environmental monitoring
The domination node and connecting node of backbone network are selected in sensor node, is specifically included:
(1) sequential value is assigned according to the following formula to each environment monitoring sensor node:
In formula, R (Si) represent i-th of environment monitoring sensor node SiSequential value,Represent environment monitoring sensor node Si
Neighbor node number, i represents the node number of environment monitoring sensor node set in advance,Represent i-th of environmental monitoring
Sensor node SiResidual energy value, QTFor the residual energy value threshold value of setting;
(2) each environment monitoring sensor node is to its neighbor node turnaround sequence value information;
(3) if environment monitoring sensor node meets following domination node election contest conditions, election contest is the domination section of backbone network
Point, and to neighbor node talkathon success message, receives the environment monitoring sensor node of election contest success message and turns into and open up
Node is opened up, if environment monitoring sensor node is unsatisfactory for dominating node election contest condition, as ordinary node:
Or
As R (Siμ) > R (Si),When, SiμTo expand node;
In formula, R (Sij) it is environment monitoring sensor node SiA hop neighbor node in j-th of neighbor node sequential value,
For environment monitoring sensor node SiA hop neighbor node quantity,Represent environment monitoring sensor section
Point SiA hop neighbor node set;
(4) expand node and dominate node election contest message to the broadcast of its neighbor node, receive and dominate the environment that node campaigns for message
Monitoring sensor node participates in the domination node election contest of backbone network according to node election contest condition is dominated.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710400855.7A CN107018483A (en) | 2017-05-31 | 2017-05-31 | A kind of intelligent agricultural greenhouse monitoring system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710400855.7A CN107018483A (en) | 2017-05-31 | 2017-05-31 | A kind of intelligent agricultural greenhouse monitoring system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107018483A true CN107018483A (en) | 2017-08-04 |
Family
ID=59451974
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710400855.7A Pending CN107018483A (en) | 2017-05-31 | 2017-05-31 | A kind of intelligent agricultural greenhouse monitoring system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107018483A (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107241434A (en) * | 2017-07-18 | 2017-10-10 | 深圳森阳环保材料科技有限公司 | A kind of agricultural product cultivate intelligent monitor system |
CN107566974A (en) * | 2017-09-13 | 2018-01-09 | 潘荣兰 | A kind of agricultural product accumulating intelligent monitor system |
CN107801170A (en) * | 2017-11-06 | 2018-03-13 | 潘柏霖 | Warmhouse booth supervising device |
CN108093498A (en) * | 2017-12-28 | 2018-05-29 | 潘永森 | The ward environment monitoring system of employing wireless sensor network |
CN108171952A (en) * | 2018-01-03 | 2018-06-15 | 程丹秋 | Warmhouse booth humiture collection communicating system based on wireless sensor network |
CN108628266A (en) * | 2018-04-25 | 2018-10-09 | 深圳万智联合科技有限公司 | Intelligent cultivation greenhouse based on big data analysis monitors system |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104267699A (en) * | 2014-09-30 | 2015-01-07 | 常州机电职业技术学院 | Agricultural greenhouse intelligent control device based on Internet of Things and working method thereof |
CN106125803A (en) * | 2016-08-16 | 2016-11-16 | 江西科技师范大学 | Agricultural greenhouse monitoring system |
-
2017
- 2017-05-31 CN CN201710400855.7A patent/CN107018483A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104267699A (en) * | 2014-09-30 | 2015-01-07 | 常州机电职业技术学院 | Agricultural greenhouse intelligent control device based on Internet of Things and working method thereof |
CN106125803A (en) * | 2016-08-16 | 2016-11-16 | 江西科技师范大学 | Agricultural greenhouse monitoring system |
Non-Patent Citations (1)
Title |
---|
蒋亿松: "地理位置信息受限的WSN_MS数据收集策略研究", 《中国博士学位论文全文数据库 信息科技辑》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107241434A (en) * | 2017-07-18 | 2017-10-10 | 深圳森阳环保材料科技有限公司 | A kind of agricultural product cultivate intelligent monitor system |
CN107566974A (en) * | 2017-09-13 | 2018-01-09 | 潘荣兰 | A kind of agricultural product accumulating intelligent monitor system |
CN107801170A (en) * | 2017-11-06 | 2018-03-13 | 潘柏霖 | Warmhouse booth supervising device |
CN108093498A (en) * | 2017-12-28 | 2018-05-29 | 潘永森 | The ward environment monitoring system of employing wireless sensor network |
CN108171952A (en) * | 2018-01-03 | 2018-06-15 | 程丹秋 | Warmhouse booth humiture collection communicating system based on wireless sensor network |
CN108628266A (en) * | 2018-04-25 | 2018-10-09 | 深圳万智联合科技有限公司 | Intelligent cultivation greenhouse based on big data analysis monitors system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107018483A (en) | A kind of intelligent agricultural greenhouse monitoring system | |
Phasinam et al. | Application of IoT and cloud computing in automation of agriculture irrigation | |
CN206787614U (en) | A kind of intelligent agricultural greenhouse system based on arrowband Internet of Things | |
Deepika et al. | Wireless sensor network in precision agriculture: A survey | |
Watteyne et al. | Peach: Predicting frost events in peach orchards using iot technology | |
CN106980270A (en) | A kind of intelligent home control system | |
CN104113892B (en) | Management method, system and the gateway of sensor node in a kind of sensor network | |
CN103297537A (en) | Henhouse environment intelligent monitoring system based on wireless sensor network | |
CN202663556U (en) | Wireless real-time greenhouse supervision and management system based on Zigbee technology | |
CN205193568U (en) | Wisdom agricultural monitored control system | |
CN109040302A (en) | Vacant lot information on soil moisture acquisition system | |
Castillo-Cara et al. | FROG: a robust and green wireless sensor node for fog computing platforms | |
CN108633697A (en) | A kind of foster culture method of the intelligent plant based on the daily data analysis of plant and cloud | |
CN106982243A (en) | Internet of Things greenhouse based on Wireless MESH sensor network technique | |
Hassan et al. | Design and development of an irrigation mobile robot | |
CN108200148A (en) | The orchard monitoring system of employing wireless sensor network | |
Lavanya et al. | A survey on agriculture and greenhouse monitoring using IOT and WSN | |
Yan et al. | A farmland-microclimate monitoring system based on the internet of things | |
Pandiyaraju et al. | An optimal energy utilization model for precision agriculture in WSNs using multi-objective clustering and deep learning | |
CN105549566A (en) | Remote agricultural information intelligent analysis system and agricultural environment regulation and control method | |
Prabhu et al. | An Analysis of Smart Irrigation System Using Wireless Sensor Network | |
Vladuta et al. | Data collection analysis: Field experiments with wireless sensors and unmanned aerial vehicles | |
Gajendran et al. | An analysis of smart irrigation system using wireless sensor | |
Hörmann et al. | Using a remote lab for teaching energy harvesting enhanced wireless sensor networks | |
Rohan et al. | Emerging Paradigm of IoT Enabled Smart Villages |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170804 |
|
RJ01 | Rejection of invention patent application after publication |