CN108471520A - Smart city agricultural cultivation method for monitoring state - Google Patents
Smart city agricultural cultivation method for monitoring state Download PDFInfo
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- CN108471520A CN108471520A CN201810266282.8A CN201810266282A CN108471520A CN 108471520 A CN108471520 A CN 108471520A CN 201810266282 A CN201810266282 A CN 201810266282A CN 108471520 A CN108471520 A CN 108471520A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING 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
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
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- 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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- 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
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
Abstract
The present invention provides a kind of smart city agricultural cultivation method for monitoring state, including：(10) temperature, humidity, wind-force and the precipitation information around agricultural product to be monitored are collected；(20) monitoring unmanned region is determined according to temperature, humidity information；(30) time of monitoring unmanned is determined according to wind-force, precipitation information；(40) the plantation state of agricultural product to be monitored is acquired.
Description
Technical field
The invention belongs to on-site law-enforcing information automation processing technology fields, more particularly to a kind of smart city agricultural product
Plant method for monitoring state.
Background technology
With economic and science and technology development, the improvement and raising of people's life, automobile is being important traffic work now
Tool, automobile are found everywhere through the world, only China, and annual volume of production and marketing just has millions of, however the thing followed is exactly that automobile is stolen
Public hazards are had become, it has been reported that the states such as the U.S., Japan, there are hundreds of automobiles to be stolen, ownership of the China in tens million of automobiles every year
In it is annual all to occur a large amount of automobiles stolen, cause prodigious insecurity to society, harmonious society is antipathetic with construction.
Stolen in order to take precautions against automobile, people come up with various technical measures, such as fill autoalarm and alarm, but with robber's driving skills art
Continuous improvement, even filled anti-theft device on automobile, automobile it is stolen still commonplace.Fill the automobile quilt of alarm
It steals, it is important to which electric theft-proof system --- the less radio-frequency encryption recognition system for automobile of how " out-tricking ", no matter your automobile is pacified
Dress is ordinary anti-theft device or Bidirectional burglar alarm, even GPS satellite positioning theft-protection device, once the password identification system of automobile
It unites " being out-tricked ", automobile will smoothly be stolen by robber.Therefore, in today with high-tech means, password quilt how is prevented
Decoding, is that automobile is effectively prevent to be stolen problem to be solved.
Through retrieval, application No. is the Chinese invention patents of CN201710643035.0 to provide a kind of agriculture Internet-based
Industry planting environment monitoring system, is related to agricultural plantation technology field.The present invention includes part of data acquisition；Part of data acquisition packet
Include water monitoring device, composition of air monitoring device, humiture monitoring device, air monitoring device, soil constituent monitoring device,
Illumination monitoring device and screen harvester；Environment adjusting control part includes quality purifying device for water, irrigation rig, light filling dress
It sets, fertilizer apparatus, pest repelling device；Microprocessor controller is connected by wireless transport module and terminal monitoring part.However,
These technical solutions in the prior art are based on hardware, and cost is higher.
Invention content
In order to improve data transmission efficiency, the present invention provides a kind of smart city agricultural cultivation method for monitoring state,
Including：
(10) temperature, humidity, wind-force and the precipitation information around agricultural product to be monitored are collected；
(20) monitoring unmanned region is determined according to temperature, humidity information；
(30) time of monitoring unmanned is determined according to wind-force, precipitation information；
(40) the plantation state of agricultural product to be monitored is acquired.
Further, the temperature, humidity, wind-force and precipitation information are obtained by agricultural meteorological station.
Further, the monitoring unmanned region is labeled based on GIS electronic maps and is obtained.
Further, the step (40) includes：
(401) the predetermined varieties of plant information in the monitoring unmanned region is obtained；
(402) according to unmanned plane location information, predetermined varieties of plant information and theoretical growth status information are established first
Association, the theoretical growth status information refers to the predetermined due growth shape of varieties of plant in the time of the monitoring unmanned
State, described at long status includes crops color and planting density；
(403) the collected video information of unmanned plane is subjected to pixel color processing, and by handling result with it is described nobody
Machine location information establishes the second association；
(404) compare the handling result during the crops color in the first association is associated with second, determine agricultural cultivation
Whether state is normal.
Further, the step (403) includes：
Framing is carried out to video information, frame data are normalized to obtain matrix A, normalization coefficient is the frame number
According to gray scale barycenter gradient；
The corresponding pixel of matrix A is subjected to such as down conversion：
Wherein parameter k is the product of matrix K and the norm of K ',It is obtained for matrix A multiplication cross B
The matrix arrived,For the matrix that matrix K multiplication cross K ' is obtained, Si,jIndicate the intermediary matrix element of above-mentioned transformation, E=R/2；
It is rightCarry out k multi-wavelet transformation of parameter, and the norm that the result that each multi-wavelet transformation obtains will be constituted
It is defined as the diagonal element value of the first intermediate diagonal matrix, each element value is arranged according to size from the upper left of the first intermediate diagonal matrix
To bottom right；
It is defined as follows three rank intermediary matrixs：
Wherein g1, g2 and g3 are respectively the first intermediate diagonal matrix from first three diagonal element left to bottom right；
By matrix A multiplication cross matrix M, the smaller diagonal matrix for being 1 with diagonal line of exponent number is calculated in lower right corner polishing in the two
The corresponding rgb value of matrix obtained after multiplication cross.
Further, the step (404) includes：
The comparison of color and handling result is what the rgb value based on color carried out.
Technical scheme of the present invention has the advantages that：
Monitoring method through the invention can avoid often multiple sensors being used to pass by distribution in the prior art
The high purchase cost of sensor cost of layout, maintenance cost and remote sensing images collecting device, by the prior art increasingly
Universal unmanned plane, the comprehensive variety of crops acquired by agricultural management department, planting area and existing GIS electronic maps are believed
Breath carries out processes pixel using specific image processing techniques, image color and theoretical color is obtained, based on the relatively high of the two
Effect ground determines agricultural cultivation state, significantly reduces smart city agricultural product growth information monitoring cost, improves wisdom
The integrated management in city is horizontal.
Specific implementation mode
Agricultural cultivation method for monitoring state in smart city provided by the invention, including：
(10) temperature, humidity, wind-force and the precipitation information around agricultural product to be monitored are collected；
(20) monitoring unmanned region is determined according to temperature, humidity information；
(30) time of monitoring unmanned is determined according to wind-force, precipitation information；
(40) the plantation state of agricultural product to be monitored is acquired.
Preferably, the temperature, humidity, wind-force and precipitation information are obtained by agricultural meteorological station.
Preferably, the monitoring unmanned region is labeled based on GIS electronic maps and is obtained.
Preferably, the step (40) includes：
(401) the predetermined varieties of plant information in the monitoring unmanned region is obtained；
(402) according to unmanned plane location information, predetermined varieties of plant information and theoretical growth status information are established first
Association, the theoretical growth status information refers to the predetermined due growth shape of varieties of plant in the time of the monitoring unmanned
State, described at long status includes crops color and planting density；
(403) the collected video information of unmanned plane is subjected to pixel color processing, and by handling result with it is described nobody
Machine location information establishes the second association；
(404) compare the handling result during the crops color in the first association is associated with second, determine agricultural cultivation
Whether state is normal.
Preferably, the step (403) includes：
Framing is carried out to video information, frame data are normalized to obtain matrix A, normalization coefficient is the frame number
According to gray scale barycenter gradient；
The corresponding pixel of matrix A is subjected to such as down conversion：
Wherein parameter k is the product of matrix K and the norm of K ',It is obtained for matrix A multiplication cross B
The matrix arrived,For the matrix that matrix K multiplication cross K ' is obtained, Si,jIndicate the intermediary matrix element of above-mentioned transformation, E=R/2；
It is rightCarry out k multi-wavelet transformation of parameter, and the norm that the result that each multi-wavelet transformation obtains will be constituted
It is defined as the diagonal element value of the first intermediate diagonal matrix, each element value is arranged according to size from the upper left of the first intermediate diagonal matrix
To bottom right；
It is defined as follows three rank intermediary matrixs：
Wherein g1, g2 and g3 are respectively the first intermediate diagonal matrix from first three diagonal element left to bottom right；
By matrix A multiplication cross matrix M, the smaller diagonal matrix for being 1 with diagonal line of exponent number is calculated in lower right corner polishing in the two
The corresponding rgb value of matrix obtained after multiplication cross.
Preferably, the step (404) includes：
The comparison of color and handling result is what the rgb value based on color carried out.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.
Claims (6)
1. a kind of smart city agricultural cultivation method for monitoring state, including：
(10) temperature, humidity, wind-force and the precipitation information around agricultural product to be monitored are collected；
(20) monitoring unmanned region is determined according to temperature, humidity information；
(30) time of monitoring unmanned is determined according to wind-force, precipitation information；
(40) the plantation state of agricultural product to be monitored is acquired.
2. according to the method described in claim 1, it is characterized in that, the temperature, humidity, wind-force and precipitation information pass through agricultural
Weather station obtains.
3. according to the method described in claim 2, it is characterized in that, the monitoring unmanned region be based on GIS electronic maps into
Rower is noted and is obtained.
4. according to the method described in claim 3, it is characterized in that, the step (40) includes：
(401) the predetermined varieties of plant information in the monitoring unmanned region is obtained；
(402) according to unmanned plane location information, predetermined varieties of plant information is established first with theory growth status information and is associated with,
The theoretical growth status information refers to that the predetermined varieties of plant is due at long status, institute in the time of the monitoring unmanned
It includes crops color and planting density to state into long status；
(403) the collected video information of unmanned plane is subjected to pixel color processing, and handling result and the unmanned plane is determined
Position information establishes the second association；
(404) compare the handling result during the crops color in the first association is associated with second, determine agricultural cultivation state
It is whether normal.
5. according to the method described in claim 4, it is characterized in that, the step (403) includes：
Framing is carried out to video information, frame data are normalized to obtain matrix A, normalization coefficient is the frame data
The gradient of gray scale barycenter；
The corresponding pixel of matrix A is subjected to such as down conversion：
Wherein parameter k is the product of matrix K and the norm of K ',The square obtained for matrix A multiplication cross B
Battle array,For the matrix that matrix K multiplication cross K ' is obtained, Si,jIndicate the intermediary matrix element of above-mentioned transformation, E=R/2；
It is rightK multi-wavelet transformation of parameter is carried out, and the norm for constituting the result that each multi-wavelet transformation obtains is defined
For the diagonal element value of the first intermediate diagonal matrix, each element value is arranged from the upper left of the first intermediate diagonal matrix to the right side according to size
Under；
It is defined as follows three rank intermediary matrixs：
Wherein g1, g2 and g3 are respectively the first intermediate diagonal matrix from first three diagonal element left to bottom right；
By matrix A multiplication cross matrix M, the smaller diagonal matrix for being 1 with diagonal line of exponent number calculates multiplication cross in lower right corner polishing in the two
The corresponding rgb value of matrix obtained afterwards.
6. according to the method described in claim 5, it is characterized in that, the step (404) includes：
The comparison of color and handling result is what the rgb value based on color carried out.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810266282.8A CN108471520A (en) | 2018-03-28 | 2018-03-28 | Smart city agricultural cultivation method for monitoring state |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810266282.8A CN108471520A (en) | 2018-03-28 | 2018-03-28 | Smart city agricultural cultivation method for monitoring state |
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Citations (10)
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| CN204116927U (en) * | 2014-09-20 | 2015-01-21 | 无锡北斗星通信息科技有限公司 | Based on the pesticide spraying platform of image acquisition |
| CN204346928U (en) * | 2015-01-25 | 2015-05-20 | 无锡桑尼安科技有限公司 | Based on the crop maturity degree Identification platform that unmanned plane detects |
| CN104881017A (en) * | 2015-06-11 | 2015-09-02 | 张迪 | Beidou-based crop growth monitoring system |
| CN105446309A (en) * | 2015-12-31 | 2016-03-30 | 西北工业大学 | Agricultural intelligent analysis monitoring system based on IOT (Internet of Things) |
| CN105657261A (en) * | 2015-12-30 | 2016-06-08 | 华南农业大学 | Unmanned aerial vehicle remote sensing image collection system and method based on Android device |
| CN106060174A (en) * | 2016-07-27 | 2016-10-26 | 昆山阳翎机器人科技有限公司 | Data analysis based agricultural guidance system |
| CN205861560U (en) * | 2016-05-27 | 2017-01-04 | 中国农业科学院农业信息研究所 | Farmland monitoring system |
| CN106791596A (en) * | 2016-11-11 | 2017-05-31 | 韦红兰 | A kind of method that utilization unmanned plane is monitored to crop |
| CN107295310A (en) * | 2017-07-31 | 2017-10-24 | 深圳前海弘稼科技有限公司 | Planting monitoring method and planting monitoring device |
| CN107291130A (en) * | 2017-07-31 | 2017-10-24 | 合肥桥旭科技有限公司 | A kind of agricultural planting environmental monitoring system based on internet |
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2018
- 2018-03-28 CN CN201810266282.8A patent/CN108471520A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204116927U (en) * | 2014-09-20 | 2015-01-21 | 无锡北斗星通信息科技有限公司 | Based on the pesticide spraying platform of image acquisition |
| CN204346928U (en) * | 2015-01-25 | 2015-05-20 | 无锡桑尼安科技有限公司 | Based on the crop maturity degree Identification platform that unmanned plane detects |
| CN104881017A (en) * | 2015-06-11 | 2015-09-02 | 张迪 | Beidou-based crop growth monitoring system |
| CN105657261A (en) * | 2015-12-30 | 2016-06-08 | 华南农业大学 | Unmanned aerial vehicle remote sensing image collection system and method based on Android device |
| CN105446309A (en) * | 2015-12-31 | 2016-03-30 | 西北工业大学 | Agricultural intelligent analysis monitoring system based on IOT (Internet of Things) |
| CN205861560U (en) * | 2016-05-27 | 2017-01-04 | 中国农业科学院农业信息研究所 | Farmland monitoring system |
| CN106060174A (en) * | 2016-07-27 | 2016-10-26 | 昆山阳翎机器人科技有限公司 | Data analysis based agricultural guidance system |
| CN106791596A (en) * | 2016-11-11 | 2017-05-31 | 韦红兰 | A kind of method that utilization unmanned plane is monitored to crop |
| CN107295310A (en) * | 2017-07-31 | 2017-10-24 | 深圳前海弘稼科技有限公司 | Planting monitoring method and planting monitoring device |
| CN107291130A (en) * | 2017-07-31 | 2017-10-24 | 合肥桥旭科技有限公司 | A kind of agricultural planting environmental monitoring system based on internet |
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Application publication date: 20180831 |