CN109886551A - The method that the placement error and quantization error generated by big data to farm environment monitoring modular device is corrected - Google Patents
The method that the placement error and quantization error generated by big data to farm environment monitoring modular device is corrected Download PDFInfo
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- CN109886551A CN109886551A CN201910064370.4A CN201910064370A CN109886551A CN 109886551 A CN109886551 A CN 109886551A CN 201910064370 A CN201910064370 A CN 201910064370A CN 109886551 A CN109886551 A CN 109886551A
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Abstract
The method that the placement error and quantization error that the present invention relates to a kind of to generate farm environment monitoring modular device by big data are corrected, according to the following steps, establish actual database, quantification of targets value setting range, threshold value K, by one group of quantification of targets value is extracted within the scope of threshold k at random, data substitute into mathematical model, it, will be in one group or the corresponding quantification of targets value deposit virtual data base of the effective quantizating index of array after excluding the biggish invalid quantizating index of deviation；By the technical program, the modern farmland system Construction for arranging a small amount of environment monitoring module can be applied to, while with the injected volume of the method optimizing of big data calculating data acquisition module and launching ratio；Reduce the brings such as equipment fault, equipment pollution, extreme climate acquisition data deviation；Reduce frequent calibration simultaneously, be effectively reduced the labor intensity of staff, reduces working hour consuming, reduce calibration expense, have a wide range of application.
Description
Technical field
The present invention relates to a kind of agriculture sensor arrangement error of correction and quantization error methods, pass through more particularly to one kind
The method that the placement error and quantization error that big data generates farm environment monitoring modular device are corrected.
Background technique
In modern farm environment monitoring system, some farm environment monitoring modular dresses with sensor are often used
It sets to measure the various environmental parameters in farmland, such as temperature, humidity, ion concentration value, and this kind of context detection module is each
It is using discrete distribution mode in farmland massif, people are by equipment in field plots when daily, per or higher frequency time will be received
Collection data are stored in database.
The accuracy of traditional data analysis or later period decision dependent on farm environment monitoring modular number, and it is excessive
Environment monitoring module can bring the substantial increase of cost again, in most farm environment monitoring system.
Two kinds of errors can be brought when collected data are directly used in field-crop decision or data are analyzed, A. arrangement is missed
Difference arranges environmental monitoring modular device in field to save cost on a small quantity, goes to measure large stretch of agriculture with a small amount of acquisition data in this way
The ambient conditions in field, not enough close to true value；The failure or pollution of appliance arrangement cause the error in arrangement further to increase,
Such as two environment monitoring modules of arrangement, if one of index goes wrong, that is to cause for the accuracy of end value
Life；In addition, it is directed to different types of modular unit, such as thermal module, humidity module, intensity of illumination module, smell module,
By the process of the big calculating of artificial intelligence, we can clearly get module insensitive to position in placement process, and
For the module of position sensing, such as the 10 intensity of illumination modules calculating uniformly launched in different location is calculated by big data
Obtained data at the same time between difference it is little, therefore the injected volume of light intensity module can be reduced in subsequent placement process；Pass through
It is obvious with time different location difference that later period is calculated smell module, can increase the injected volume of smell module.On the one hand it saves
The insensitive parameter module in position launches bring cost more, another aspect position sensing parameter module launch more brought by value
It is more accurate；B. quantization error, this kind of environmental monitoring modular device are chronically in the climatic environments such as extraneous supercooling, overheat, rainwater
Perhaps it is in close contact with the soil since the problem of unstable factors such as climatic environment or equipment itself brings the quantization of data to miss
Difference；Quantization error includes such also comprising error value caused by apparatus mentioned above failure error.In addition, equipment was being launched
It is easily contaminated in journey, data have deviation, need to calibrate to correct, but frequent calibration will increase cost.
In conclusion in the prior art, only by placing a small amount of environmental monitoring modular device, it may appear that serious cloth
Set error and quantization error；Increasing environment prison modular device quantity progress data acquisition will cause high cost, simultaneously for environment
Monitoring modular device needs often carry out testing calibration to it, and work management person works amount is big, and operating cost is high, no
It popularizes and promotes and applies conducive to technology.
Summary of the invention
In view of this, the main purpose of the present invention is to provide one kind by big data to farm environment monitoring modular device
The method that the placement error and quantization error of generation are corrected, by the technical program, in the measurement process of farm field data,
A small amount of farm environment monitoring modular device is only placed in field, still is able to obtain the support of relatively good data accuracy；Together
When also solve without frequent calibration and increase farm environment monitoring modular device and the high cost problem of bring.
In order to achieve the above object, the technical proposal of the invention is realized in this way.
A kind of correction side for the placement error and quantization error that farm environment monitoring modular device is generated by big data
Method sequentially includes the following steps:
Actual database is established, farm environment monitoring modular data acquisition, by every frequency by a farm environment monitoring modular
Certain the current quantification of targets value generated collects in actual database；
Certain quantification of targets value setting range, to one in actual database certain current criteria quantized value according to identity
Matter setting selection allows region to exclude invalid quantification of targets value；
Certain quantized value is determined according to the historical record of the property of certain current criteria quantized value and geo-environmental change
Threshold k, by stepIn certain current criteria quantized value efficiency index quantized value, mentioned at random by within the scope of threshold k
Take one group of quantification of targets value A1, A2, A3 ..., Am, complete certain current criteria quantized value of a farm environment monitoring modular
Regional choice collection work;
Virtual data base is established, is referred to according to the property of certain current criteria quantized value and corresponding farmland plant growth monitoring
Mark establishes relevant one or several mathematical models, by stepIn one group of quantification of targets value A1, A2, A3 ..., Am generation respectively
Enter the quantizating index for obtaining one group or array in one or several mathematical models relevant to certain current criteria quantized value, excludes
After the biggish invalid quantizating index of deviation, by one group or the corresponding virtual number of quantification of targets value deposit of the effective quantizating index of array
According in library.
As further technical solution, for stepIn be excluded some farmland corresponding to invalid quantification of targets value
Certain environment monitoring module maintenance in environment monitoring module device.
As further technical solution, in the farm environment monitoring modular device, including aerial temperature and humidity monitoring is set
Standby, soil temperature and humidity monitoring device, intensity of illumination monitoring device, soil pH value monitoring device, EC value monitoring device and vegetation refer to
Number monitoring device.
As further technical solution, the mathematical model includes temperature/humidity/intensity of illumination day accumulated value-crop
Exponential model；Accumulated temperature-Biomass Models；Temperature/illumination-vegetation index model；Temperature/illumination/day and night temperature-yield model；
Soil moisture-vegetation index parameter；Soil moisture-well developed root system index；PH- vegetation index parameter；PH- biomass parameters；EC-
Vegetation index parameter；EC accumulated value-biomass parameters.
As further technical solution, select another farm environment monitoring modular successively by stepTo stepIt is complete
At data collection task；The current another quantification of targets value that another farm environment monitoring modular generates is selected, successively by step
SuddenlyTo stepData acquisition work.
Beneficial effect after by adopting the above technical scheme is: one kind produces farm environment monitoring modular device by big data
The method that raw placement error and quantization error is corrected can be applied to arrange a small amount of environmental monitoring by the technical program
The modern farmland system Construction of module, while the injected volume of the method optimizing data acquisition module calculated with big data and dispensing
Ratio；Reduce the brings such as equipment fault, equipment pollution, extreme climate acquisition data deviation；Reduce frequent calibration simultaneously,
It is effectively reduced the labor intensity of staff, working hour consuming is reduced, reduces calibration expense, have a wide range of application.
Detailed description of the invention
Fig. 1 is workflow block diagram of the invention.
In figure, 1 actual database, 2 farm environment monitoring modular devices, 3 quantification of targets values, 4 invalid quantification of targets values, 5
Efficiency index quantized value, 6 virtual data bases, 7 mathematical models, 8 aerial temperature and humidity monitoring devices, 9 soil temperature and humidity monitoring devices,
10 intensity of illumination monitoring devices, 11 soil pH value monitoring devices, 12 EC value monitoring devices, 13 vegetation index monitoring devices, 14 are gone through
History database.
Specific embodiment
Specific embodiment in the present invention is described in further detail below in conjunction with attached drawing.
As shown in Figure 1, the placement error of the present invention generated by big data to farm environment monitoring modular device
And the correcting method of quantization error, it sequentially includes the following steps:
Actual database 1 is established, the acquisition of 2 data of farm environment monitoring modular device is supervised a farm environment by every frequency
Certain current quantification of targets value 3 that modular device 2 generates is surveyed to collect in actual database 1；
Certain 3 setting range of quantification of targets value, to one in actual database 1 certain current criteria quantized value 3 according to kind
The setting selection of class property allows region to exclude invalid quantification of targets value 4；
Certain index is determined according to the historical record of the property of certain current criteria quantized value 3 and geo-environmental change
The threshold k of quantized value 3, by stepIn certain current criteria quantized value 3 efficiency index quantized value 5, by threshold k range
Inside extract at random several quantification of targets value A1, A2, A3 ..., Am, certain for completing a farm environment monitoring modular currently refers to
The regional choice collection work of scalarization value 3;
Virtual data base 6 is established, according to the property of certain current criteria quantized value 3 and corresponding farmland plant growth monitoring
The relevant one or several mathematical models 7 of Index Establishment, by stepIn one group of quantification of targets value A1, A2, A3 ..., Am point
It Dai Ru not show that the quantization of one group or array refers in one or several mathematical models 7 relevant to certain current criteria quantized value 3
Mark, after excluding the biggish invalid quantizating index 4 of deviation, by one group or the corresponding quantification of targets value 3 of the effective quantizating index of array
It is stored in virtual data base 6.
As further embodiment, for stepIn be excluded some farmland corresponding to invalid quantification of targets value 4
Certain environment monitoring module maintenance in environment monitoring module device 2.
As further embodiment, in the farm environment monitoring modular device 2, including aerial temperature and humidity monitoring device
8, soil temperature and humidity monitoring device 9, intensity of illumination monitoring device 10, soil pH value monitoring device 11,12 and of EC value monitoring device
Vegetation index monitoring device 13.
As further embodiment, the mathematical model 7 includes that temperature/humidity/intensity of illumination day accumulated value-crop refers to
Exponential model；Accumulated temperature-Biomass Models；Temperature/illumination-vegetation index model；Temperature/illumination/day and night temperature-yield model；Soil
Earth humidity-vegetation index parameter；Soil moisture-well developed root system index；PH- vegetation index parameter；PH- biomass parameters；EC- plants
By index parameters；EC accumulated value-biomass parameters.
As further embodiment, select another farm environment monitoring modular device 2 successively by stepTo stepData acquisition work；The current another quantification of targets value 3 that another farm environment monitoring modular device generates is selected,
Successively press stepTo stepData acquisition work.
The step of inventive technique schemeIn the invalid quantification of targets value 4 that is excluded be not meet the natural law, life completely
There are 50 DEG C of phenomenons above freezing in the quantification of targets value 3 of common sense and physical characteristic living, such as Beijing winter surface temperature, such finger occur
Scalarization value 3 must be equipment fault, can directly reject data, and the later period needs to monitor corresponding farm environment
Modular device 2 is overhauled, stepIn the invalid quantification of targets value 4 that is excluded be because by corresponding mathematical model 7 meter
There is relatively large deviation in the quantizating index 3 of calculating, if there is being largely excluded, for such situation, can reset diminution
The value range of quantification of targets value 3, and also to pay close attention to the convergence of corresponding mathematical model.
Mathematical model 7 in the present invention is with the growth in plantation season, and data volume is more and more, and mathematical model 7 is increasingly received
It holds back, accuracy is higher and higher, so that the mathematical model of available higher precision works, in virtual data base 6 before rejecting
Certain quantification of targets value 3.
It include actual database 1 and virtual data base 6 in historical data base 14 in the present invention, by current real data
Certain quantification of targets value 3, which is put into Related Mathematical Models 7, in library 1, virtual data base 6 and historical data base 14 is trained, more
It is put into relevant mathematical model 7 come certain more 3 data of quantification of targets value, relevant mathematical model 7 is made to tend to restrain, and essence
Exactness is higher and higher；It is saved when certain 3 data of quantification of targets value in every year are all divided into actual database 1 and virtual data base 6,
Each plantation season terminates, and obtained data are that more accurate model data can be used for the data analysis in later period or establish more
Tend to close mathematical model 7.
Actual database is entered by the real data that environment monitoring module device 2 transmits in technical solution of the present invention
In 1, real data is virtual data entrance by one group of random data that certain restrictive condition and artificial intelligence are calculated
Virtual data base 6.
The foundation of various mathematical models 7 of the invention is the prior art, and in this not go into detail.
The above, preferable possible embodiments only of the invention, the protection scope being not intended to limit the invention.
Claims (5)
- What 1. a kind of placement error and quantization error generated by big data to farm environment monitoring modular device was corrected Method, which is characterized in that sequentially include the following steps:Actual database is established, farm environment monitoring modular data acquisition, by every frequency by a farm environment monitoring modular Certain the current quantification of targets value generated collects in actual database；Certain quantification of targets value setting range, to one in actual database certain current criteria quantized value according to type property Setting selection allows region to exclude invalid quantification of targets value；Certain quantized value is determined according to the historical record of the property of certain current criteria quantized value and geo-environmental change Threshold k, by stepIn certain current criteria quantized value efficiency index quantized value, mentioned at random by within the scope of threshold k Take one group of quantification of targets value A1, A2, A3 ..., Am, complete certain current criteria quantized value of a farm environment monitoring modular Regional choice collection work;Virtual data base is established, according to the property of certain current criteria quantized value and corresponding farmland plant growth monitoring index Relevant one or several mathematical models are established, by stepIn one group of quantification of targets value A1, A2, A3 ..., Am substitutes into respectively The quantizating index of one group or array is obtained in one or several mathematical models relevant to certain current criteria quantized value, is excluded inclined After the biggish invalid quantizating index of difference, one group or the corresponding quantification of targets value of the effective quantizating index of array are stored in virtual data In library.
- 2. the placement error and quantization according to claim 1 generated by big data to farm environment monitoring modular device The method that error is corrected, which is characterized in that for stepIn be excluded some agriculture corresponding to invalid quantification of targets value Certain environment monitoring module maintenance in the environment monitoring module device of field.
- 3. the placement error and quantization according to claim 1 generated by big data to farm environment monitoring modular device The method that error is corrected, which is characterized in that in the farm environment monitoring modular device, including aerial temperature and humidity monitoring is set Standby, soil temperature and humidity monitoring device, intensity of illumination monitoring device, soil pH value monitoring device, EC value monitoring device and vegetation refer to Number monitoring device.
- 4. the placement error and quantization according to claim 1 generated by big data to farm environment monitoring modular device The method that error is corrected, which is characterized in that the mathematical model includes temperature/humidity/intensity of illumination day accumulated value-crop Exponential model；Accumulated temperature-Biomass Models；Temperature/illumination-vegetation index model；Temperature/illumination/day and night temperature-yield model； Soil moisture-vegetation index parameter；Soil moisture-well developed root system index；PH- vegetation index parameter；PH- biomass parameters；EC- Vegetation index parameter；EC accumulated value-biomass parameters.
- 5. the placement error and quantization according to claim 1 generated by big data to farm environment monitoring modular device The method that error is corrected, which is characterized in that select another farm environment monitoring modular successively by stepTo step Data acquisition work；The current another quantification of targets value that another farm environment monitoring modular generates is selected, is successively pressed StepTo stepData acquisition work.
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