CN109655108A - A kind of field planting real-time monitoring system and method based on Internet of Things - Google Patents
A kind of field planting real-time monitoring system and method based on Internet of Things Download PDFInfo
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Abstract
The invention belongs to plant monitoring technical field, a kind of field planting real-time monitoring system and method based on Internet of Things is disclosed, the field planting real-time monitoring system based on Internet of Things includes: plantation video acquisition module, ambient temperature and humidity acquisition module, soil data acquisition module, data transmission module, central control module, Internet of Things communication module, lighting module, growth conditions monitoring modular, monitoring data memory module, monitoring display module.The present invention is matched by Internet of Things communication module woth no need to equipment and terminal direct communication, and no distance limitation, good compatibility can in time be monitored field planting data；Simultaneously, by growth conditions monitoring modular using the color invariant parameter of RGB image as the main foundation for distinguishing surrounding pixels and culture plant, it solves the problems, such as to divide imperfect to plant caused by vegetation growth state monitoring caused by serious colour cast light and there is adaptivity to the variation of light-source brightness, improve the accuracy monitored to plant growth state.
Description
Technical field
The invention belongs to plant monitoring technical field more particularly to a kind of field planting real-time monitoring based on Internet of Things
System and method.
Background technique
Plantation is plant culture, including various crops, forest, fruit tree, flowers and plants, medicinal and ornamental etc. cultivations of plants,
There are cereal crops, industrial crops, vegetable crop, green manure crop, forage crop, herbage etc..Field crop refers in acre
Object ﹐ such as little Mai ﹑ water rice ﹑ high fine strain of millet ﹑ jade rice ﹑ cotton ﹑ herbage etc. is made in upper plantation.Grain is directly fed, oil plant and clothing raw material are
It is main.Open country plantation, vegetables inside greenhouse etc. not counting；Tobacco, Chinese herbal medicine not counting；Woody apple, grape not counting.Mesh
Be to maximally utilise resource, reduce waste, reduce cost.Using free of contamination soil, waters and natural surroundings, or
Person uses Ecological Technique Measures, improves plantation water quality and ecological environment, is planted according to up to the firm specific cropping pattern of plantation
It plants, without using chemical fertilizer, pesticide and other harmful substances matter etc., target is to produce pollution-free green food and organic food.It realizes
Component profitable probliotics stoste of ecologic planting etc..However, in existing field planting real-time monitoring system there is transmission in data transmission
The disadvantages of apart from short, poor compatibility, more complex matching operation；And use in the mode of sequence number and account binding, for one
In the case that equipment is to more terminals, target terminal can not be correctly transmitted data to, influences the timely monitoring to field planting；
Meanwhile existing field planting uses LED light source, has serious colour cast to cause to generate larger mistake to plant growth state monitoring result
Very；Since colour cast light has override the color of plant, plant Part portions can be mistaken for environmental background and cause to monitor by this method
Error.
In conclusion problem of the existing technology is:
Data transmission there are transmission ranges short, poor compatibility in existing field planting real-time monitoring system, matching operation compared with
The disadvantages of complicated；And use sequence number and account binding mode in, for an equipment to more terminals in the case where, nothing
Method correctly transmits data to target terminal, influences the timely monitoring to field planting；Meanwhile existing field planting uses LED light
Source has serious colour cast to cause to generate larger distortion to plant growth state monitoring result；Since colour cast light has override plant
Plant Part portions can be mistaken for environmental background and cause to monitor error by color, this method.
The prior art accurately cannot correctly reflect and using the space structure for acquiring picture, be unfavorable for image procossing and make
Correctness；Temperature Humidity Sensor cannot be acquired data and fusion treatment in the prior art；And it is not capable of real-time acquisition
Data just carry out error concealment；The brightness adjustability of display in the prior art is poor, and the brightness uniformity of display screen is not
Foot reduces the clarity that show of data, is unfavorable for that display is clear and accurate to be displayed data, reduction working efficiency.
Summary of the invention
In view of the problems of the existing technology, the field planting real-time monitoring based on Internet of Things that the present invention provides a kind of
System and method.
The invention is realized in this way a kind of field planting method of real-time based on Internet of Things, described to be based on Internet of Things
The field planting method of real-time of net includes:
The first step acquires field planting scene video data using camera；Temperature Humidity Sensor is using population to big
The temperature of field planting environment, humidity data are acquired and fusion treatment, and the synchronous multistage error compensating method of function that carries out is to reality
When the data that acquire just carry out error concealment；Acquire soil acidity or alkalinity, the soil water of field soil in real time using Soil K+adsorption instrument
Divide, soil nutrient content data；
Second step, using data line connection camera, Temperature Humidity Sensor, Soil K+adsorption instrument by the data of acquisition
Central control module is sent to be handled；It is communicated using wireless transmitter connection Internet of Things；
Third step provides lighting operation to crop field plant using red blue LED lamp；Noisy image is carried out by realizing
The camera of level Bayes Modeling, acquisition under the red blue light illumination of LED the RGB image feature of environmental background and plant to plant
Object upgrowth situation is monitored；
4th step, using memory storage acquisition monitor video, ambient temperature and humidity, soil acidity or alkalinity, soil moisture,
Soil nutrient content data, upgrowth situation data；Using the display display monitoring system interface adjusted by PWM and acquisition
Monitor video, ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data, upgrowth situation data.
Further, Temperature Humidity Sensor utilizes temperature of the population to field planting environment, humidity number in the step 1
According to being acquired and fusion treatment；The synchronous multistage error compensating method of function that carries out just carries out error to the data acquired in real time
It eliminates, specific error cancelling method are as follows:
During the transmission of sensor data acquisition data, benefit is formulated sensing system error and data pass
Connection between defeated matrix:
In the transmission of sensor data acquisition data, the width of signal transmission can be calculated with following formula:
Δ κ=N/ Δ σ '=e Δ γ/d ω N=(Δ q/f-d Δ q) N
In formula, N is the distance that sensor data acquisition data need to transmit；
Δ σ ' is data delivery lag parameter；
F is the speed that sensor data acquisition data are transmitted in the case where not considering extraneous factor interference；
ω is the deflection angle in data transfer；
Above-mentioned formula is converted, following result can be obtained:
Δ κ=N/ Δ σ '=N Δ q/f
It can be calculated using following formula since sensor acquires error caused by data attribute difference:
It is capable of the second order function of error caused by computation attribute difference using following formula:
In formula, the value of P (y) can be calculated with following formula:
P (y)=T (y)-1F(y)T(y)
Using following formula, the error parameter during sensor data acquisition can be calculated:
Using following formula, the sensor data acquisition errors can be compensated with processing:
Further, in the step 3 using camera by noisy image carry out level Bayes Modeling, acquisition exist
The RGB image feature of environmental background and plant carries out accurate measurements, specific side to vegetation growth state under the red blue light illumination of LED
Method are as follows:
Picture noise signal Gaussian distributed carries out level Bayes Modeling to noisy image；Unit matrix is indicated with I,
A, b, c, d, e, f are Study first (constant), as follows to image modeling:
xi=Ψ θi+εiθi=ziowi
Ψ=(ψ1, ψ2..., ψk)ψk~N (0, n-1In)
γw~Γ (c, d) γε~Γ (e, f)
To ziIt models as follows:
Wherein, G indicates Gaussian Profile, πiFrom Gaussian Profile obtained by random sampling.
Another object of the present invention is to provide the field planting method of real-time described in a kind of realize based on Internet of Things
The field planting real-time monitoring system based on Internet of Things, the field planting real-time monitoring system based on Internet of Things includes:
Video acquisition module is planted, is connect with data transmission module, for acquiring field planting scene visual by camera
Frequency evidence；
Ambient temperature and humidity acquisition module, connect with data transmission module, for being acquired in real time greatly by Temperature Humidity Sensor
The temperature of field planting environment, humidity data；
Soil data acquisition module, connect with data transmission module, for acquiring land in real time by Soil K+adsorption instrument
Soil acidity or alkalinity, soil moisture, the soil nutrient content data of earth；
Data transmission module, with plantation video acquisition module, ambient temperature and humidity acquisition module, soil data acquisition module,
Central control module connection will be acquired for connecting camera, Temperature Humidity Sensor, Soil K+adsorption instrument by data line
Data be sent to central control module and handled；
Central control module monitors mould with data transmission module, Internet of Things communication module, lighting module, growth conditions
Block, monitoring data memory module, monitoring display module connection, work normally for controlling modules by single-chip microcontroller；
Internet of Things communication module, connect with central control module, is led to for connecting Internet of Things by wireless transmitter
Letter；
Lighting module is connect with central control module, for providing illumination behaviour to crop field plant by red blue LED lamp
Make；
Growth conditions monitoring modular, connect with central control module, for being shone by camera acquisition in the red blue light of LED
The RGB image feature for penetrating lower environmental background and plant is monitored vegetation growth state；
Monitoring data memory module, connect with central control module, for being regarded by the monitoring of memory storage acquisition
Frequently, ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data, upgrowth situation data；
Monitoring display module is connect with central control module, for showing monitoring system interface and acquisition by display
Monitor video, ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data, upgrowth situation data.
Another object of the present invention is to provide the field planting method of real-time described in a kind of application based on Internet of Things
Information data processing terminal.
Advantages of the present invention and good effect are as follows: the present invention uses dynamic unique encodings by Internet of Things communication module
Crop field monitoring device is mutually bound with controlling terminal, so that the two be made to establish one-to-one communication connection, is set instead of original
The mode of the standby direct communication between controlling terminal；In this way, making bindings more simple and fast, woth no need to equipment and terminal
Direct communication pairing, no distance limitation, good compatibility can in time be monitored field planting data；Meanwhile passing through life
Long status monitoring modular is solved using the color invariant parameter of RGB image as distinguishing surrounding pixels and cultivating the main foundation of plant
It has determined and imperfect problem is divided and to light-source brightness to plant caused by vegetation growth state monitoring caused by serious colour cast light
Variation has adaptivity, improves the accuracy monitored to plant growth state.
The present invention, by carrying out level Bayes Modeling to noisy image, correctly reflects and utilizes acquisition using camera
The space structure of picture, the correctness for improving image procossing and using guarantee acquisition environmental background under the red blue light illumination of LED
Accurate measurements are carried out to vegetation growth state with the RGB image feature of plant；Temperature Humidity Sensor of the present invention utilizes population pair
The temperature of field planting environment, humidity data are acquired and fusion treatment；It is synchronous to carry out the multistage error compensating method pair of function
The data acquired in real time just carry out error concealment, effectively eliminate Acquisition Error, facilitate the temperature of environment, the standard of humidity data
Really acquisition；The present invention uses the display adjusted by PWM, and the brightness of display screen is adjusted by PWM, improves the bright of display screen
Uniformity is spent, monitor video, ambient temperature and humidity, soil acidity or alkalinity, the soil water of display monitoring system interface and acquisition are improved
Divide, the clarity that soil nutrient content data, upgrowth situation data are shown, is conducive to the clear and accurate carry out data of display
Display guarantees the accuracy of reading data, improves working efficiency.
Detailed description of the invention
Fig. 1 is the field planting method of real-time flow chart provided by the invention based on Internet of Things.
Fig. 2 is the field planting real-time monitoring system structural schematic diagram provided in an embodiment of the present invention based on Internet of Things；
In figure: 1, planting video acquisition module；2, ambient temperature and humidity acquisition module；3, soil data acquisition module；4, number
According to transmission module；5, central control module；6, Internet of Things communication module；7, lighting module；8, growth conditions monitoring modular；9,
Monitoring data memory module；10, monitoring display module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached
Detailed description are as follows for figure.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the field planting method of real-time provided by the invention based on Internet of Things, specifically:
S101: field planting scene video data are acquired using camera；Temperature Humidity Sensor is using population to crop field
The temperature of planting environment, humidity data are acquired and fusion treatment, and the synchronous multistage error compensating method of function that carries out is to real-time
The data of acquisition just carry out error concealment；Acquire soil acidity or alkalinity, the soil water of field soil in real time using Soil K+adsorption instrument
Divide, soil nutrient content data；
S102: the data of acquisition are sent out using data line connection camera, Temperature Humidity Sensor, Soil K+adsorption instrument
Central control module is sent to be handled；It is communicated using wireless transmitter connection Internet of Things；
S103: lighting operation is provided to crop field plant using red blue LED lamp；Layer is carried out to noisy image by realizing
The camera of secondary Bayes Modeling, acquisition under the red blue light illumination of LED the RGB image feature of environmental background and plant to plant
Upgrowth situation is monitored；
S104: monitor video, the ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil of memory storage acquisition are utilized
Earth nutrient content data, upgrowth situation data；Using the display display monitoring system interface and acquisition adjusted by PWM
Monitor video, ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data, upgrowth situation data.
In step S101, Temperature Humidity Sensor provided in an embodiment of the present invention is using population to field planting environment
Temperature, humidity data are acquired and fusion treatment；The synchronous multistage error compensating method of function that carries out is to the data acquired in real time
Error concealment is just carried out, Acquisition Error is effectively eliminated, facilitates the temperature of environment, the accurate acquisition of humidity data, it is specific to miss
Poor removing method are as follows:
During the transmission of sensor data acquisition data, sensing system error and number are indicated using following formula
According to the connection between transmission matrix:
Related data in above-mentioned formula, it is necessary to meet the requirement of following formula:
In the transmission of sensor data acquisition data, the width of signal transmission can be calculated with following formula:
Δ κ=N/ Δ σ '=e Δ γ/d ω N=(Δ q/f-d Δ q) N
In formula, N is the distance that sensor data acquisition data need to transmit；
Δ σ ' is data delivery lag parameter；
F is the speed that sensor data acquisition data are transmitted in the case where not considering extraneous factor interference；
ω is the deflection angle in data transfer；
Above-mentioned formula is converted, following result can be obtained:
Δ κ=N/ Δ σ '=N Δ q/f
It can be calculated using following formula since sensor acquires error caused by data attribute difference:
It is capable of the second order function of error caused by computation attribute difference using following formula:
In formula, the value of P (y) can be calculated with following formula:
P (y)=T (y)-1F(y)T(y)
Using following formula, the error parameter during sensor data acquisition can be calculated:
Using following formula, the sensor data acquisition errors can be compensated with processing:
It is provided in an embodiment of the present invention to be passed through using camera to noisy image progress level Bayes in step S103
Modeling, correct reflection and the space structure using acquisition picture, the correctness for improving image procossing and using, guarantee that acquisition exists
The RGB image feature of environmental background and plant carries out accurate measurements, specific side to vegetation growth state under the red blue light illumination of LED
Method are as follows:
Picture noise signal Gaussian distributed carries out level Bayes Modeling to noisy image；Unit matrix is indicated with I,
A, b, c, d, e, f are Study first (constant), as follows to image modeling:
xi=Ψ θi+εiθi=ziowi
ψ=(ψ1, ψ2..., ψk)ψk~N (0, n-1In)
γw~Γ (c, d) γε~Γ (e, f)
In order to preferably keep the space structure of image, to ziIt models as follows:
Wherein, G indicates Gaussian Profile, πiFrom Gaussian Profile obtained by random sampling；
In order to reduce γwAnd γεSusceptibility, it can be made to obey that mean value is smaller and the biggish gamma distribution of variance；
The Gibbs methods of sampling in Markov chain Monte-Carlo (CMCM) method usually can be used to level pattra leaves
This model carries out nonparametric reasoning.
It is provided in an embodiment of the present invention using the display adjusted by PWM in step S104, it is adjusted and is shown by PWM
The brightness of screen improves the brightness uniformity of display screen, improves monitor video, the environment temperature of display monitoring system interface and acquisition
The clarity that humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data, upgrowth situation data are shown, is conducive to show
Show that device is clear and accurate to display data, guarantee the accuracy of reading data, improves working efficiency；Method particularly includes:
It is corresponded by the line number and row number of each lamp point and actual display screen lamp point, according to the school of each lamp point
Positive coefficient adjusts the width of input pulse so as to adjust lamp point brightness:
In formula: Ri、Gi、BiRed, green, blue the correction coefficient of respectively i-th of lamp point, Irt、Igt、 IbtRespectively
The relatively bright angle value of three color correction target values, Iri、Igi、IbiThe relatively bright angle value of respectively three color of lamp point.
As shown in Fig. 2, the field planting real-time monitoring system provided by the invention based on Internet of Things includes: plantation video
Acquisition module 1, ambient temperature and humidity acquisition module 2, soil data acquisition module 3, data transmission module 4, central control module 5,
Internet of Things communication module 6, lighting module 7, growth conditions monitoring modular 8, monitoring data memory module 9, monitoring display module
10。
Video acquisition module 1 is planted, is connect with data transmission module 4, for acquiring field planting scene by camera
Video data；
Ambient temperature and humidity acquisition module 2 is connect with data transmission module 4, for being acquired in real time by Temperature Humidity Sensor
The temperature of field planting environment, humidity data；
Soil data acquisition module 3 is connect with data transmission module 4, for acquiring crop field in real time by Soil K+adsorption instrument
Soil acidity or alkalinity, soil moisture, the soil nutrient content data of soil；
Data transmission module 4 acquires mould with plantation video acquisition module 1, ambient temperature and humidity acquisition module 2, soil data
Block 3, central control module 5 connect, will for connecting camera, Temperature Humidity Sensor, Soil K+adsorption instrument by data line
The data of acquisition are sent to central control module and are handled；
Central control module 5 is monitored with data transmission module 4, Internet of Things communication module 6, lighting module 7, growth conditions
Module 8, monitoring data memory module 9, monitoring display module 10 connect, for controlling the normal work of modules by single-chip microcontroller
Make；
Internet of Things communication module 6 is connect with central control module 5, is carried out for connecting Internet of Things by wireless transmitter
Communication；
Lighting module 7 is connect with central control module 5, for providing illumination to crop field plant by red blue LED lamp
Operation；
Growth conditions monitoring modular 8 is connect with central control module 5, for being acquired by camera in the red blue light of LED
The RGB image feature for irradiating lower environmental background and plant is monitored vegetation growth state；
Monitoring data memory module 9 is connect with central control module 5, for being regarded by the monitoring of memory storage acquisition
Frequently, ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data, upgrowth situation data；
Monitoring display module 10 is connect with central control module 5, for by display display monitor system interface and
The monitor video of acquisition, ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data, upgrowth situation data.
6 communication means of Internet of Things communication module provided by the invention is as follows:
1) request for generating dynamic unique encodings is sent to server by field planting monitoring device；
2) server responds the request, generates dynamic unique encodings；
3) for dynamic unique encodings generated to be imported controlling terminal；
4) the dynamic unique encodings are uploaded to by the server by controlling terminal；
5) measuring device for sending request is tied up with the controlling terminal for uploading dynamic unique encodings by the server
It is fixed, so that the two establishes one-to-one communication connection.
The dynamic unique encodings of generation provided by the invention are graphic form, and being imported by controlling terminal scanning should
Dynamic unique encodings.
Communication means provided by the invention further include: by triggering the button being arranged on the measuring device to make
The measuring device sends the request for generating dynamic unique encodings to server.
Step 5) provided by the invention is by the physical address phase of the physical address of the measuring device and the controlling terminal
Binding.
It is provided by the invention when server is connected to new request and carries out new binding, release measuring device with before
The binding of one controlling terminal.
8 monitoring method of growth conditions monitoring modular provided by the invention is as follows:
(1) with the acquisition of video monitoring the camera RGB image of environmental background and crop field plant under the red blue light illumination of LED
RGB image；
(2) image will be obtained in step (1), physical modeling is carried out according to forming process of the Kubelka-Munk theory to it,
In the model space, the characteristic parameter with color constancy characteristic is defined；
(3) the collected RGB image of step (1) is subjected to linear transformation and obtains the spectrum parameter in Gauss color space
E、Eλ、Eλλ；
(4) spectrum parameter obtained in step (3) is filtered in x-axis direction with N-jet operator, obtains Gauss color
The spatial parameter E of color spacex、Eλx、Eλλx；It is filtered in y-axis direction with N-jet operator, obtains the sky of Gauss color space
Between parameter Ey、Eλy、Eλλy；Described E, Eλ、Eλλ、Ex、Eλx、Eλλx、 Ey、Eλy、EλλyConstitute complete Gauss color space parameters；
(5) RGB obtained in step (1) is calculated according to the Gauss color space parameters that step (3) and step (4) obtain
Characteristic parameter H, the W with color constancy characteristic of image in Gauss color spacex、Wy；And in environmental background image
Each pixel H, Wx、WyParameter carries out single Gauss modeling respectively；
(6) H, W of each pixel of current video input frame are calculatedx、WyParameter, compared with background model, according to default
Judgment criterion determine current pixel belong to background pixel or belong to plant pixel；
(7) it is judged as that the pixel of background is used to update environmental background model in step (6), updates the mean value of Gaussian Profile
And standard deviation.
(8) it post-processes: to by treated for step (1)-(7), video frame images carry out thresholding, Morphological scale-space etc.
Post-processing operation obtains the bianry image of accurate plant；
(9) the every frame inputted video image corresponding bianry image comprising culture plant is exported, judges to plant by image
Object growth conditions.
When the invention works, firstly, acquiring field planting scene visual using camera by plantation video acquisition module 1
Frequency evidence；Acquire the temperature, wet of field planting environment in real time using Temperature Humidity Sensor by ambient temperature and humidity acquisition module 2
Degree evidence；Acquire soil acidity or alkalinity, the soil of field soil in real time using Soil K+adsorption instrument by soil data acquisition module 3
Moisture, soil nutrient content data；Camera, temperature and humidity sensing are connected using data line by data transmission module 4
Device, Soil K+adsorption instrument send central control module for the data of acquisition and handle；Secondly, central control module 5 passes through object
Connected network communication module 6 is communicated using wireless transmitter connection Internet of Things；It is given by lighting module 7 using red blue LED lamp
Crop field plant provides lighting operation；The ring under the red blue light illumination of LED is acquired using camera by growth conditions monitoring modular 8
Border background and the RGB image feature of plant are monitored vegetation growth state；Then, pass through 9 benefit of monitoring data memory module
With memory storage acquisition monitor video, ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data,
Upgrowth situation data；Finally, being regarded by monitoring display module 10 using the monitoring of display display monitoring system interface and acquisition
Frequently, ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data, upgrowth situation data.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (5)
1. a kind of field planting method of real-time based on Internet of Things, which is characterized in that the crop field kind based on Internet of Things
Planting method of real-time includes:
The first step acquires field planting scene video data using camera；Temperature Humidity Sensor is using population to crop field kind
Plant that the temperature of environment, humidity data is acquired and fusion treatment, the synchronous multistage error compensating method of function that carries out to adopting in real time
The data of collection just carry out error concealment；Acquire the soil acidity or alkalinity, soil moisture, soil of field soil in real time using Soil K+adsorption instrument
Earth nutrient content data；
Second step is sent the data of acquisition to using data line connection camera, Temperature Humidity Sensor, Soil K+adsorption instrument
Central control module is handled；It is communicated using wireless transmitter connection Internet of Things；
Third step provides lighting operation to crop field plant using red blue LED lamp；Level shellfish is carried out to noisy image by realizing
Ye Si modeling camera, acquisition under the red blue light illumination of LED the RGB image feature of environmental background and plant to plant growth shape
Condition is monitored；
4th step is supported using the monitor video of memory storage acquisition, ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil
Divide content data, upgrowth situation data；Using the display display monitoring system interface adjusted by PWM and the monitoring view of acquisition
Frequently, ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data, upgrowth situation data.
2. the field planting method of real-time based on Internet of Things as described in claim 1, which is characterized in that the step 1
Middle Temperature Humidity Sensor is acquired using population to the temperature of field planting environment, humidity data and fusion treatment；It is synchronous
It carries out function multistage error compensating method and error concealment, specific error cancelling method is just carried out to the data acquired in real time are as follows:
During the transmission of sensor data acquisition data, benefit is formulated sensing system error and data transfer matrix
Between connection:
In the transmission of sensor data acquisition data, the width of signal transmission can be calculated with following formula:
Δ κ=N/ Δ σ '=e Δ γ/d ω N=(Δ q/f-d Δ q) N
In formula, N is the distance that sensor data acquisition data need to transmit；
Δ σ ' is data delivery lag parameter；
F is the speed that sensor data acquisition data are transmitted in the case where not considering extraneous factor interference；
ω is the deflection angle in data transfer；
Above-mentioned formula is converted, following result can be obtained:
Δ κ=N/ Δ σ '=N Δ q/f
It can be calculated using following formula since sensor acquires error caused by data attribute difference:
It is capable of the second order function of error caused by computation attribute difference using following formula:
In formula, the value of P (y) can be calculated with following formula:
P (y)=T (y)-1F(y)T(y)
Using following formula, the error parameter during sensor data acquisition can be calculated:
Using following formula, the sensor data acquisition errors can be compensated with processing:
3. the field planting method of real-time based on Internet of Things as described in claim 1, which is characterized in that the step 3
It is middle using camera by noisy image carry out level Bayes Modeling, acquisition under the red blue light illumination of LED environmental background and
The RGB image feature of plant carries out accurate measurements to vegetation growth state, method particularly includes:
Picture noise signal Gaussian distributed carries out level Bayes Modeling to noisy image；Unit matrix is indicated with I, a, b,
C, d, e, f are Study first (constant), as follows to image modeling:
xi=Ψ θi+εi θi=ziowi
Ψ=(ψ1, ψ2..., ψk) ψk~N (0, n-1In)
γw~Γ (c, d) γε~Γ (e, f)
To ziIt models as follows:
Wherein, G indicates Gaussian Profile, πiFrom Gaussian Profile obtained by random sampling.
4. a kind of crop field based on Internet of Things for realizing the field planting method of real-time described in claim 1 based on Internet of Things
Plant real-time monitoring system, which is characterized in that the field planting real-time monitoring system based on Internet of Things includes:
Video acquisition module is planted, is connect with data transmission module, for acquiring field planting scene visual frequency by camera
According to；
Ambient temperature and humidity acquisition module, connect with data transmission module, for acquiring crop field kind in real time by Temperature Humidity Sensor
Plant temperature, the humidity data of environment；
Soil data acquisition module, connect with data transmission module, for acquiring field soil in real time by Soil K+adsorption instrument
Soil acidity or alkalinity, soil moisture, soil nutrient content data；
Data transmission module, with plantation video acquisition module, ambient temperature and humidity acquisition module, soil data acquisition module, center
Control module connection, for by data line connection camera, Temperature Humidity Sensor, Soil K+adsorption instrument by the data of acquisition
Central control module is sent to be handled；
Central control module, with data transmission module, Internet of Things communication module, lighting module, growth conditions monitoring modular, monitoring
Data memory module, monitoring display module connection, work normally for controlling modules by single-chip microcontroller；
Internet of Things communication module, connect with central control module, is communicated for connecting Internet of Things by wireless transmitter；
Lighting module is connect with central control module, for providing lighting operation to crop field plant by red blue LED lamp；
Growth conditions monitoring modular, connect with central control module, for passing through camera acquisition ring under the red blue light illumination of LED
Border background and the RGB image feature of plant are monitored vegetation growth state；
Monitoring data memory module, connect with central control module, for monitor video, the environment by memory storage acquisition
Temperature and humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data, upgrowth situation data；
Monitoring display module is connect with central control module, for showing the prison of monitoring system interface and acquisition by display
Control video, ambient temperature and humidity, soil acidity or alkalinity, soil moisture, soil nutrient content data, upgrowth situation data.
5. a kind of information using the field planting method of real-time described in claims 1 to 3 any one based on Internet of Things
Data processing terminal.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110133201A (en) * | 2019-06-11 | 2019-08-16 | 湖南省园艺研究所 | A kind of plum blossom heat resistance index monitoring system and method based on multisensor |
| CN110455340A (en) * | 2019-08-21 | 2019-11-15 | 池州市农产品质量安全监测中心 | A kind of agricultural cultivation EMS based on big data |
| CN116941400A (en) * | 2023-07-28 | 2023-10-27 | 济宁市兖州区同瑞机械有限公司 | Fertilization control system based on thing networking |
| CN117391613A (en) * | 2023-10-08 | 2024-01-12 | 菏泽单州数字产业发展有限公司 | Agricultural industry garden management system based on Internet of things |
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2018
- 2018-12-28 CN CN201811622215.1A patent/CN109655108A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110133201A (en) * | 2019-06-11 | 2019-08-16 | 湖南省园艺研究所 | A kind of plum blossom heat resistance index monitoring system and method based on multisensor |
| CN110455340A (en) * | 2019-08-21 | 2019-11-15 | 池州市农产品质量安全监测中心 | A kind of agricultural cultivation EMS based on big data |
| CN110455340B (en) * | 2019-08-21 | 2020-05-15 | 池州市农产品质量安全监测中心 | Agricultural product planting environment detection system based on big data |
| CN116941400A (en) * | 2023-07-28 | 2023-10-27 | 济宁市兖州区同瑞机械有限公司 | Fertilization control system based on thing networking |
| CN117391613A (en) * | 2023-10-08 | 2024-01-12 | 菏泽单州数字产业发展有限公司 | Agricultural industry garden management system based on Internet of things |
| CN117391613B (en) * | 2023-10-08 | 2024-03-15 | 菏泽单州数字产业发展有限公司 | Agricultural industry garden management system based on Internet of things |
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