CN108760969A - The green plant big data analysis system of intelligence - Google Patents
The green plant big data analysis system of intelligence Download PDFInfo
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- CN108760969A CN108760969A CN201810265093.9A CN201810265093A CN108760969A CN 108760969 A CN108760969 A CN 108760969A CN 201810265093 A CN201810265093 A CN 201810265093A CN 108760969 A CN108760969 A CN 108760969A
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- 241001464837 Viridiplantae Species 0.000 title claims abstract description 54
- 238000007405 data analysis Methods 0.000 title claims abstract description 18
- 239000002689 soil Substances 0.000 claims abstract description 40
- 238000012423 maintenance Methods 0.000 claims abstract description 13
- UHOVQNZJYSORNB-UHFFFAOYSA-N Benzene Chemical compound C1=CC=CC=C1 UHOVQNZJYSORNB-UHFFFAOYSA-N 0.000 claims description 9
- 239000003344 environmental pollutant Substances 0.000 claims description 6
- 235000015097 nutrients Nutrition 0.000 claims description 6
- 231100000719 pollutant Toxicity 0.000 claims description 6
- 238000005286 illumination Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- WSFSSNUMVMOOMR-NJFSPNSNSA-N methanone Chemical compound O=[14CH2] WSFSSNUMVMOOMR-NJFSPNSNSA-N 0.000 claims description 3
- 230000001473 noxious effect Effects 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims 1
- 238000004590 computer program Methods 0.000 abstract description 12
- 238000012544 monitoring process Methods 0.000 abstract description 7
- 230000033764 rhythmic process Effects 0.000 abstract description 4
- 239000002699 waste material Substances 0.000 abstract description 4
- 241000196324 Embryophyta Species 0.000 description 11
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 4
- WSFSSNUMVMOOMR-UHFFFAOYSA-N Formaldehyde Chemical compound O=C WSFSSNUMVMOOMR-UHFFFAOYSA-N 0.000 description 3
- 241000331528 Chlorophytum capense Species 0.000 description 2
- 244000252337 Epipremnum pinnatum Species 0.000 description 2
- 240000000411 Sansevieria trifasciata Species 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 241000388393 Caesalpinia violacea Species 0.000 description 1
- 240000001548 Camellia japonica Species 0.000 description 1
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 description 1
- 235000007516 Chrysanthemum Nutrition 0.000 description 1
- 244000189548 Chrysanthemum x morifolium Species 0.000 description 1
- 241000544061 Cuculus canorus Species 0.000 description 1
- 240000000163 Cycas revoluta Species 0.000 description 1
- 235000008601 Cycas revoluta Nutrition 0.000 description 1
- 240000003421 Dianthus chinensis Species 0.000 description 1
- 241001448411 Dracaena draco Species 0.000 description 1
- 240000008669 Hedera helix Species 0.000 description 1
- 240000001549 Ipomoea eriocarpa Species 0.000 description 1
- 235000005146 Ipomoea eriocarpa Nutrition 0.000 description 1
- 241000913821 Macolor niger Species 0.000 description 1
- 241000581835 Monodora junodii Species 0.000 description 1
- 240000000987 Monstera deliciosa Species 0.000 description 1
- 235000002790 Monstera deliciosa Nutrition 0.000 description 1
- 241000632869 Pachira glabra Species 0.000 description 1
- 241000031837 Pachypodium rutenbergianum Species 0.000 description 1
- 244000294611 Punica granatum Species 0.000 description 1
- 235000014360 Punica granatum Nutrition 0.000 description 1
- QAOWNCQODCNURD-UHFFFAOYSA-L Sulfate Chemical compound [O-]S([O-])(=O)=O QAOWNCQODCNURD-UHFFFAOYSA-L 0.000 description 1
- 150000001450 anions Chemical class 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 229910002091 carbon monoxide Inorganic materials 0.000 description 1
- -1 carbon monoxide hyponitric acids Chemical class 0.000 description 1
- 235000006214 castanha do maranho Nutrition 0.000 description 1
- 231100000481 chemical toxicant Toxicity 0.000 description 1
- 239000000460 chlorine Substances 0.000 description 1
- 229910052801 chlorine Inorganic materials 0.000 description 1
- 235000018597 common camellia Nutrition 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000005034 decoration Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000077 insect repellent Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000003012 network analysis Methods 0.000 description 1
- 231100000252 nontoxic Toxicity 0.000 description 1
- 230000003000 nontoxic effect Effects 0.000 description 1
- 230000001151 other effect Effects 0.000 description 1
- 238000005502 peroxidation Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000001954 sterilising effect Effects 0.000 description 1
- 238000004659 sterilization and disinfection Methods 0.000 description 1
- 229910021653 sulphate ion Inorganic materials 0.000 description 1
- 239000003440 toxic substance Substances 0.000 description 1
- 231100000419 toxicity Toxicity 0.000 description 1
- 230000001988 toxicity Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
-
- 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
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- General Health & Medical Sciences (AREA)
- Immunology (AREA)
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- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Analytical Chemistry (AREA)
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- Environmental & Geological Engineering (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Combustion & Propulsion (AREA)
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- Computing Systems (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
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Abstract
The present invention relates to the green plant big data analysis systems of intelligence, including soil sensor, air borne sensor, wireless module, cloud database, client, before the green plant big data analysis system use of intelligence of the present invention, it first passes through client and sets green plant information, soil sensor, air borne sensor are placed on the planting soil face of green plant to be monitored again, wherein, soil sensor is arranged below soil, and air borne sensor is arranged above soil.And monitoring data are transmitted to by cloud database by wireless module in real time, cloud database is according to the information being collected into, transfer the optimum growh data of green plant to be monitored, the data of combining wireless module transfer, maintenance is sent out by mobile phone app or computer program in time to suggest, when the data that database is collected into beyond the clouds are more than warning line, mobile phone app or computer program alert can also be passed through in real time, it avoids user and forgets the maintenance of green plant because rhythm of life is fast, reduce the waste of resource.
Description
Technical field
The present invention relates to plant maintenance fields, the specially green plant big data analysis system of intelligence.
Background technology
As the improvement of people's living standards, the market of green plant is increasing.Green plant is the letter of the ornamental foliage plant of green
Claim, results from tropical rain forest and subtropical zone, generally shady plant garden mostly.Because its shade tolerant performance is strong, indoor sight can be used as
Appreciate plant maintenance of plant indoors.Green plant common are:Epipremnum aureum, brasiletto, money tree, madagascar palm, bracketplant, green apple, Lan Bao
Stone, dragon tree, sansevieria trifasciata, The Incredible Hulk, green emperor, black beauty etc. are formed from selection and breeding such as leaf, leaf color, plant types.Some are green
Color plant can effectively absorb the toxic chemical substance generated by house decoration, for example, bracketplant, sansevieria trifasciata, Aspidlsiraelatior,
The ability that Monstera deliciosa absorbs formaldehyde is just especially strong;And toad's-mouth, morning glory, China pink then can be by by the very strong sulfur dioxide of toxicity
The sulphate cpd of non-toxic or low-toxic property is converted into through peroxidation;Sago cycas, chrysanthemum, pomegranate, camellia etc. can be effectively clear
Except harmful substances such as sulfur dioxide, chlorine, carbon monoxide hyponitric acids.Planting some indoors has requirement for height to want moisture
It asks, such as epipremnum aureum, ivy, cuckoo, pteridophyte etc., indoor humidity can be made to increase in a natural manner, become natural
Humidifier.Different green branch is selected, can also have dust suction, sterilization, manufacture anion, mosquito repellent, cooling, radiation protection and other effects.
Quickly due to present people's rhythm of life, usually can forget to conserve green plant because of too busy, this just makes
At a large amount of wastes, there is presently no one kind to be monitored to green plant growing environment, while according to green plant kind, growth ring
Border is made maintenance and is suggested, and the green plant big data analysis system of intelligence for passing through mobile phone app real-time feedback informations through network.
Invention content
The present invention is exactly in view of the above problems, green plant growing environment can be monitored by providing one kind, while according to green
Plant kind, the green plant big data of intelligence point that growing environment is made maintenance and suggested, and passes through mobile phone app real-time feedback informations through network
Analysis system.
The present invention is achieved through the following technical solutions above-mentioned purpose:
The green plant big data analysis system of intelligence, including soil sensor, air borne sensor, wireless module, cloud database,
Client, it is characterised in that soil sensor is arranged with air borne sensor at the both ends of wireless module, and soil sensor setting exists
Below the growing surface soil of green plant to be monitored, air borne sensor is arranged above the growing surface soil of green plant to be monitored, and soil passes
It is provided with wireless module between sensor, air borne sensor, wireless module is by network and cloud database into row data communication, cloud
After the data that client database transmits wireless module are analyzed, then client sent information to by network.Soil senses
Device mainly monitors green plant and grows relevant data, such as the soil moisture, humidity, illumination, nutrient, pH value information.Air borne sensor
Noxious pollutant in main monitoring air, such as formaldehyde, benzene, TVOC indoor pollutants.Wireless module tonneau bluetooth or
WIFI is carried out data transmission by network.Client is mobile phone or computer.Client is mobile phone app or computer program.High in the clouds number
Optimum growh data, and the data of combining wireless module transfer are transferred according to different green plant information to be monitored according to library, are passed through in time
Mobile phone app or computer program, which send out maintenance, suggests.Cloud database transfers optimum growh number according to different green plant information to be monitored
According to selecting the good plant data of growing way and be shared with other users in conjunction with nutrient, temperature, humidity, Lighting information, instruct other
User conserves plant.
Before the green plant big data analysis system use of intelligence of the present invention, first passes through client and sets green plant information,
Soil sensor, air borne sensor are placed on the planting soil face of green plant to be monitored again, wherein soil sensor setting exists
Below soil, air borne sensor is arranged above soil.And monitoring data are transmitted to by high in the clouds number by wireless module in real time
According to library, cloud database transfers the optimum growh data of green plant to be monitored, combining wireless module transfer according to the information being collected into
Data, in time by mobile phone app or computer program send out maintenance suggest, the data that database is collected into beyond the clouds be more than warning
When line, the present invention can also avoid user because rhythm of life is fast in real time by mobile phone app or computer program alert
And forget the maintenance of green plant, reduce the waste of resource.It can also play the role of environmental monitoring simultaneously, it is simple in structure, in conjunction with
Mobile phone app or computer program use, extremely convenient.
Specific implementation mode
Technical scheme of the present invention is clearly and completely described below in conjunction with the embodiment of the present invention, it is clear that retouched
The embodiment stated is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, originally
The every other embodiment that field those of ordinary skill is obtained without making creative work, belongs to the present invention
The range of protection.
The green plant big data analysis system of intelligence, including soil sensor, air borne sensor, wireless module, cloud database,
Client, it is characterised in that soil sensor is arranged with air borne sensor at the both ends of wireless module, and soil sensor setting exists
Below the growing surface soil of green plant to be monitored, air borne sensor is arranged above the growing surface soil of green plant to be monitored, and soil passes
It is provided with wireless module between sensor, air borne sensor, wireless module is by network and cloud database into row data communication, cloud
After the data that client database transmits wireless module are analyzed, then client sent information to by network.Soil senses
Device mainly monitors green plant and grows relevant data, such as the soil moisture, humidity, illumination, nutrient, pH value information.Air borne sensor
Noxious pollutant in main monitoring air, such as formaldehyde, benzene, TVOC indoor pollutants.Wireless module tonneau bluetooth or
WIFI is carried out data transmission by network.Client is mobile phone or computer.Client is mobile phone app or computer program.High in the clouds number
Optimum growh data, and the data of combining wireless module transfer are transferred according to different green plant information to be monitored according to library, are passed through in time
Mobile phone app or computer program, which send out maintenance, suggests.Cloud database transfers optimum growh number according to different green plant information to be monitored
According to selecting the good plant data of growing way and be shared with other users in conjunction with nutrient, temperature, humidity, Lighting information, instruct other
User conserves plant.
Before the green plant big data analysis system use of intelligence of the present invention, first passes through client and sets green plant information,
Soil sensor, air borne sensor are placed on the planting soil face of green plant to be monitored again, wherein soil sensor setting exists
Below soil, air borne sensor is arranged above soil.And monitoring data are transmitted to by high in the clouds number by wireless module in real time
According to library, cloud database transfers the optimum growh data of green plant to be monitored, combining wireless module transfer according to the information being collected into
Data, in time by mobile phone app or computer program send out maintenance suggest, the data that database is collected into beyond the clouds be more than warning
When line, the present invention can also avoid user because rhythm of life is fast in real time by mobile phone app or computer program alert
And forget the maintenance of green plant, reduce the waste of resource.It can also play the role of environmental monitoring simultaneously, it is simple in structure, in conjunction with
Mobile phone app or computer program use, extremely convenient.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Profit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent requirements of the claims
Variation is included within the present invention.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiment being appreciated that.
Claims (8)
1. the green plant big data analysis system of intelligence, including soil sensor, air borne sensor, wireless module, cloud database, visitor
Family end, it is characterised in that soil sensor is arranged with air borne sensor at the both ends of wireless module, and soil sensor setting is waiting for
It monitors below the growing surface soil of green plant, air borne sensor is arranged above the growing surface soil of green plant to be monitored, soil sensing
It is provided with wireless module between device, air borne sensor, wireless module is by network and cloud database into row data communication, high in the clouds
After the data that database transmits wireless module are analyzed, then client sent information to by network.
2. the green plant big data analysis system of intelligence according to claim 1, it is characterised in that soil sensor mainly monitors
Green plant grows relevant data, such as the soil moisture, humidity, illumination, nutrient, pH value information.
3. the green plant big data analysis system of intelligence according to claim 1, it is characterised in that air borne sensor mainly monitors
Noxious pollutant in air, such as formaldehyde, benzene, TVOC indoor pollutants.
4. the green plant big data analysis system of intelligence according to claim 1, it is characterised in that wireless module tonneau bluetooth
Or WIFI is carried out data transmission by network.
5. the green plant big data analysis system of intelligence according to claim 1, it is characterised in that client is mobile phone or computer.
6. the green plant big data analysis system of intelligence according to claim 5, it is characterised in that client is mobile phone app or electricity
Brain program.
7. the green plant big data analysis system of intelligence according to claim 1, it is characterised in that cloud database is according to difference
Green plant information to be monitored transfers optimum growh data, and the data of combining wireless module transfer, passes through mobile phone app or computer in time
Program sends out maintenance and suggests.
8. the green plant big data analysis system of intelligence according to claim 1, it is characterised in that cloud database is according to difference
Green plant information to be monitored transfers optimum growh data, the good plant data of growing way is selected, in conjunction with nutrient, temperature, humidity, illumination
Information is shared with other users, and other users is instructed to conserve plant.
Priority Applications (1)
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CN201810265093.9A CN108760969A (en) | 2018-03-28 | 2018-03-28 | The green plant big data analysis system of intelligence |
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CN201810265093.9A CN108760969A (en) | 2018-03-28 | 2018-03-28 | The green plant big data analysis system of intelligence |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111510877A (en) * | 2020-04-22 | 2020-08-07 | 姚玉焱 | Plant intelligent control monitoring method and device |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105159119A (en) * | 2015-09-01 | 2015-12-16 | 中山大学 | Indoor intelligent plant maintenance device, system and method |
CN205787981U (en) * | 2016-05-31 | 2016-12-07 | 南京信息工程大学 | A kind of domestic intelligent flowers monitoring device and monitor supervision platform |
CN106647452A (en) * | 2016-11-16 | 2017-05-10 | 深圳市铁汉方环境科技有限公司 | Intelligent control device based on three-dimensional greening and visual control system thereof |
CN107771563A (en) * | 2016-08-24 | 2018-03-09 | 南京乐朋电子科技有限公司 | Automatic plant cultivation system under smart steering |
-
2018
- 2018-03-28 CN CN201810265093.9A patent/CN108760969A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105159119A (en) * | 2015-09-01 | 2015-12-16 | 中山大学 | Indoor intelligent plant maintenance device, system and method |
CN205787981U (en) * | 2016-05-31 | 2016-12-07 | 南京信息工程大学 | A kind of domestic intelligent flowers monitoring device and monitor supervision platform |
CN107771563A (en) * | 2016-08-24 | 2018-03-09 | 南京乐朋电子科技有限公司 | Automatic plant cultivation system under smart steering |
CN106647452A (en) * | 2016-11-16 | 2017-05-10 | 深圳市铁汉方环境科技有限公司 | Intelligent control device based on three-dimensional greening and visual control system thereof |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111510877A (en) * | 2020-04-22 | 2020-08-07 | 姚玉焱 | Plant intelligent control monitoring method and device |
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