CN110134809A - A kind of grain temperature data visualization method and device - Google Patents
A kind of grain temperature data visualization method and device Download PDFInfo
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- CN110134809A CN110134809A CN201910420995.XA CN201910420995A CN110134809A CN 110134809 A CN110134809 A CN 110134809A CN 201910420995 A CN201910420995 A CN 201910420995A CN 110134809 A CN110134809 A CN 110134809A
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- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000013079 data visualisation Methods 0.000 title claims abstract description 25
- 235000013339 cereals Nutrition 0.000 claims abstract description 75
- 230000009466 transformation Effects 0.000 claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 18
- 230000000007 visual effect Effects 0.000 claims abstract description 10
- 238000013517 stratification Methods 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims abstract description 6
- 238000004458 analytical method Methods 0.000 claims abstract description 5
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Abstract
The invention discloses a kind of grain temperature data visualization method and devices, belong to computer field, the technical problem to be solved in the present invention is how to show the temperature conditions of every nook and cranny in every layer of grain heap, convenient for observing grain heap overall condition, it finds the problem and is positioned, reduce the working strength of supervisor in library, the technical solution of use are as follows: 1. this method is by carrying out data processing to cereal temperature, the data handled carry out layering visual presentation using visualization tool, abstract data are processed into visual temperature field figure, convenient for analysis and daily monitoring；Specific step is as follows: S1, being handled by coordinate of the coordinate transform to temperature measuring point；S2, the temperature that grain between the adjacent temperature measuring point of same layer is obtained by interpolation；S3, grain temperature is shown by the layering of temperature field figure.2., the device include temperature measuring point coordinate transformation unit, adjacent temperature measuring point interpolation process unit and thermal stratification display unit.
Description
Technical field
The present invention relates to field of computer technology, specifically a kind of grain temperature data visualization method and device.
Background technique
Traditional grain temperature data visualization uses the mode of three-dimensional scatter plot mostly, and this mode can only show some survey
The temperature value size of warm spot, can not show the temperature of the grain between two neighboring temperature measuring point, can not intuitively observe grain heap
The temperature conditions in some region.Therefore the temperature conditions of every nook and cranny in every layer of grain heap how is shown, convenient for observation grain heap
Overall condition is found the problem and is positioned, and the working strength for reducing supervisor in library is to be badly in need of solution in currently available technology
Certainly the technical issues of.
The patent document of Patent No. CN109000810A discloses a kind of multidimensional grain temperature display systems and method, including number
According to acquisition module, by temperature detection device, record monitors the inside and outside data including temperature information of silo every time；Table mould
Block, the grain temperature data for being sent by forms mode display data acquisition module；Histogram module, for passing through histogram
Mode shows the grain temperature data that data acquisition module is sent；Broken line module, for showing that data are adopted by line chart mode
The grain temperature data that collection module is sent.Although the technical solution can be improved the accuracy of data, but cannot show grain heap
The temperature conditions of every nook and cranny in every layer is found the problem and is positioned convenient for observation grain heap overall condition, reduces in library and supervises
The working strength of personnel.
Summary of the invention
Technical assignment of the invention is to provide a kind of grain temperature data visualization method and device, to solve how to show
Out in every layer of grain heap every nook and cranny temperature conditions, convenient for observation grain heap overall condition, the problem of finding the problem and positioned.
Technical assignment of the invention realizes that a kind of grain temperature data visualization method, this method passes through in the following manner
Data processing is carried out to cereal temperature, the data handled carry out layering visual presentation using visualization tool, by what is be abstracted
Data are processed into visual temperature field figure, convenient for analysis and daily monitoring；Specific step is as follows:
S1, it is handled by coordinate of the coordinate transform to temperature measuring point；
S2, the temperature that grain between the adjacent temperature measuring point of same layer is obtained by interpolation；
S3, grain temperature is shown by the layering of temperature field figure.
Preferably, the specific steps handled in the step S1 by coordinate of the coordinate transform to temperature measuring point are such as
Under:
S101, temperature measuring point grain temperature data are formatted, the coordinate form of temperature measuring point is (row, column, layer), temperature measuring point
Value be grain temperature；
S102, the row coordinate and column coordinate of temperature measuring point are converted, so that the temperature field figure drawn is more in line with viewing
And use habit；
S103, the gradient for generating image is configured, easily facilitates viewing and use.
More preferably, the conversion regime row coordinate of temperature measuring point converted in the step S102 are as follows:
Row coordinate=0.3+ (column-minimum column) * (warehouse width -0.6)/(maximum column-minimum column).
More preferably, the conversion regime column coordinate of temperature measuring point converted in the step S102 are as follows:
Column coordinate=0.3+ (row -1) * (warehouse length -0.6)/(maximum row -1).
More preferably, the gradient of image is set as 1.5 in the S103.
Preferably, obtaining the specific of the temperature of grain between the adjacent temperature measuring point of same layer by interpolation in the step S2
Steps are as follows:
S201, data are taken out by layer；
S201, data progress cubic spline (Cubic) between each temperature measuring point and adjacent temperature measuring point of same layer is inserted
Value processing.
More preferably, three are carried out to the data between each temperature measuring point and adjacent temperature measuring point of same layer in the step S202
Specific step is as follows for secondary batten (Cubic) interpolation processing:
Points=np.array (x+y) .reshape (2, len (x)) .T；
Xi=np.linspace (0, meta_width, 1000)；
Yi=np.linspace (0, meta_depth, 1000)；
[X, Y]=np.meshgrid (xi, yi)；
Temp_grid=griddata (points, temp, (X, Y), method='cubic') # interpolation method.
Preferably, by temperature field figure layering displaying grain temperature, specific step is as follows in the step S3:
The data that S301, the coordinate for taking each layer of transformation to complete and interpolation processing are completed；
S302, using the matplotlib tool in Matlab or python, carry out the drafting of layering cereal temperature field figure.
A kind of grain temperature data visualization device, the device include,
Temperature measuring point coordinate transformation unit is coordinately transformed processing for the coordinate to temperature measuring point；
Adjacent temperature measuring point interpolation process unit, for obtaining the temperature of grain between the adjacent temperature measuring point of same layer by interpolation
Degree；
Thermal stratification display unit, for showing grain temperature by the layering of temperature field figure.
Preferably, the temperature measuring point coordinate transformation unit includes temperature measuring point row coordinate transformation unit and thermometric point range coordinate
Converting unit；
Temperature measuring point row coordinate transformation unit is for converting the row coordinate of temperature measuring point, conversion regime are as follows:
Row coordinate=0.3+ (column-minimum column) * (warehouse width -0.6)/(maximum column-minimum column)；
Thermometric point range coordinate transformation unit is for converting the column coordinate of temperature measuring point, conversion regime are as follows:
Column coordinate=0.3+ (row -1) * (warehouse length -0.6)/(maximum row -1).
Grain temperature data visualization method of the invention and device have the advantage that
(1), for the present invention by carrying out data processing to cereal temperature, processing method includes the behaviour such as interpolation, coordinate conversion
Make, the data for handling completion carry out layering visual presentation using visualization tool；With existing grain temperature data visualization mode phase
Than the present invention has carried out interpolation processing to the data between the adjacent temperature measuring point of same layer, can show in silo more fully hereinafter
The cereal temperature of each position is distributed, and has bigger reference significance, has good application value；
(2), the present invention is by the grain temperature data interpolating between temperature measuring point coordinate transform and temperature measuring point, and utilizes
The matplotlib of Matlab or python draws layering cereal temperature field figure, and abstract data are processed into visual temperature
Field figure, convenient for analysis and daily monitoring；
(3), the present invention can show the temperature conditions of every nook and cranny in every layer of grain heap, convenient for observation grain heap entirety feelings
Condition is found the problem and is positioned, and it is daily to can use the progress of stratification temperature field figure for supervisor and data analyst in library
Supervision and data analysis, there is larger application value in routine monitoring.
Detailed description of the invention
The following further describes the present invention with reference to the drawings.
Attached drawing 1 is grain temperature data visualization method flow diagram；
Attached drawing 2 is the structural block diagram of grain temperature data visualization device；
Attached drawing 3 is stratification temperature field figure.
Specific embodiment
Referring to Figure of description and specific embodiment to a kind of grain temperature data visualization method of the invention and device make with
Under explain in detail.
Embodiment 1:
As shown in Fig. 1, grain temperature data visualization method of the invention, this method is by carrying out at data cereal temperature
Reason, the data handled carry out layering visual presentation using visualization tool, and abstract data are processed into visual temperature
Field figure is spent, convenient for analysis and daily monitoring；Specific step is as follows:
S1, it is handled by coordinate of the coordinate transform to temperature measuring point；Specific step is as follows:
S101, temperature measuring point grain temperature data are formatted, the coordinate form of temperature measuring point is (row, column, layer), temperature measuring point
Value be grain temperature；
S102, the row coordinate and column coordinate of temperature measuring point are converted, so that the temperature field figure drawn is more in line with viewing
And use habit；The conversion regime that the row coordinate of temperature measuring point is converted are as follows:
Row coordinate=0.3+ (column-minimum column) * (warehouse width -0.6)/(maximum column-minimum column)；
The key code specifically converted is as follows:
def row_dist(c,meta_id_para):
return 0.3+(c-BIN.loc[meta_id_para].left)*(meta_width-0.6)/(
BIN.loc[meta_id_para].right-BIN.loc[meta_id_para].left)。
The conversion regime that the column coordinate of temperature measuring point is converted are as follows:
Column coordinate=0.3+ (row -1) * (warehouse length -0.6)/(maximum row -1)；
The key code specifically converted is as follows:
def col_dist(c,meta_id_para):
return 0.3+(c-1)*(meta_depth-0.6)/(BIN.loc[meta_id_para].far-1)。
S103, the gradient for generating image is configured, easily facilitates viewing and using wherein, the gradient of image is set
It is set to 1.5.
Wherein, the key code for carrying out data format processing and row coordinate, the conversion of column coordinate is as follows:
Ddf_moment_level=ddf_moment.loc [(slice (None), [level], slice (None)) :]
Ddf_moment_level=ddf_moment_level.stack ()
Ddf_moment_level=ddf_moment_level.reset_index ()
Ddf_moment_level.columns=[' level_0', ' level', ' col', ' row', ' temp']
X=list (ddf_moment_level.row) # east-west direction row x
Y=list (ddf_moment_level.col) # North and South direction col y
Temp=np.array (ddf_moment_level.temp)
Meta_id_list=[meta_id] * len (x)
X=list (map (row_dist, x, meta_id_list)) # is converted into actual coordinate position
Y=list (map (col_dist, y, meta_id_list)).
S2, the temperature that grain between the adjacent temperature measuring point of same layer is obtained by interpolation；Specific step is as follows:
S201, data are taken out by layer；
S201, data progress cubic spline (Cubic) between each temperature measuring point and adjacent temperature measuring point of same layer is inserted
Value processing, key code are as follows:
Points=np.array (x+y) .reshape (2, len (x)) .T；
Xi=np.linspace (0, meta_width, 1000)；
Yi=np.linspace (0, meta_depth, 1000)；
[X, Y]=np.meshgrid (xi, yi)；
Temp_grid=griddata (points, temp, (X, Y), method='cubic') # interpolation method.
S3, grain temperature is shown by the layering of temperature field figure；Specific step is as follows:
The data that S301, the coordinate for taking each layer of transformation to complete and interpolation processing are completed；
S302, using the matplotlib tool in Matlab or python, carry out the drafting of layering cereal temperature field figure,
Stratification temperature field figure as shown in Fig. 3；Key code is as follows:
Level_up_down=BIN.loc [meta_id] .top+1-level#level
Ax [level_up_down]=plt.subplot (int (level_count*100+10+level_up_down),
Facecolor=color_sub)
Im=plt.contourf (X+Y/lean, Y, temp_grid, 20, alpha=1, cmap=color_map,
Vmax=cc_max, vmin=cc_min)
Isoline=plt.contour (X+Y/lean, Y, temp_grid, 20, color='black', linewidth
=0.1)
Plt.clabel (isoline, inline=True, fontsize=10).
Embodiment 2:
As shown in Fig. 2, grain temperature data visualization device of the invention, structure mainly include that the conversion of temperature measuring point coordinate is single
First, adjacent temperature measuring point interpolation process unit and thermal stratification display unit；
Wherein, temperature measuring point coordinate transformation unit is coordinately transformed processing for the coordinate to temperature measuring point；Temperature measuring point coordinate
Converting unit includes temperature measuring point row coordinate transformation unit and thermometric point range coordinate transformation unit；
Temperature measuring point row coordinate transformation unit is for converting the row coordinate of temperature measuring point, conversion regime are as follows:
Row coordinate=0.3+ (column-minimum column) * (warehouse width -0.6)/(maximum column-minimum column)；
Thermometric point range coordinate transformation unit is for converting the column coordinate of temperature measuring point, conversion regime are as follows:
Column coordinate=0.3+ (row -1) * (warehouse length -0.6)/(maximum row -1).
Adjacent temperature measuring point interpolation process unit, for obtaining the temperature of grain between the adjacent temperature measuring point of same layer by interpolation
Degree；
Thermal stratification display unit, for showing grain temperature by the layering of temperature field figure.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (10)
1. a kind of grain temperature data visualization method, which is characterized in that this method is by carrying out data processing, processing to cereal temperature
Complete data carry out layering visual presentation using visualization tool, and abstract data are processed into visual temperature field figure,
Convenient for analysis and daily monitoring；Specific step is as follows:
S1, it is handled by coordinate of the coordinate transform to temperature measuring point；
S2, the temperature that grain between the adjacent temperature measuring point of same layer is obtained by interpolation；
S3, grain temperature is shown by the layering of temperature field figure.
2. grain temperature data visualization method according to claim 1, which is characterized in that become in the step S1 by coordinate
It changes and is handled the coordinate of temperature measuring point that specific step is as follows:
S101, temperature measuring point grain temperature data are formatted, the coordinate form of temperature measuring point is (row, column, layer), the value of temperature measuring point
For grain temperature；
S102, the row coordinate and column coordinate of temperature measuring point are converted, so that the temperature field figure drawn is more in line with viewing and makes
With habit；
S103, the gradient for generating image is configured, easily facilitates viewing and use.
3. grain temperature data visualization method according to claim 2, which is characterized in that temperature measuring point in the step S102
The conversion regime converted of row coordinate are as follows:
Row coordinate=0.3+ (column-minimum column) * (warehouse width -0.6)/(maximum column-minimum column).
4. grain temperature data visualization method according to claim 2 or 3, which is characterized in that survey in the step S102
The conversion regime that the column coordinate of warm spot is converted are as follows:
Column coordinate=0.3+ (row -1) * (warehouse length -0.6)/(maximum row -1).
5. grain temperature data visualization method according to claim 2, which is characterized in that the gradient of image in the S103
It is set as 1.5.
6. grain temperature data visualization method according to claim 1, which is characterized in that obtained in the step S2 by interpolation
To the temperature of grain between the adjacent temperature measuring point of same layer, specific step is as follows:
S201, data are taken out by layer；
S201, cubic spline interpolation processing is carried out to the data between each temperature measuring point and adjacent temperature measuring point of same layer.
7. grain temperature data visualization method according to claim 6, which is characterized in that same layer in the step S202
Each temperature measuring point and adjacent temperature measuring point between data carry out cubic spline interpolation processing specific step is as follows:
Points=np.array (x+y) .reshape (2, len (x)) .T；
Xi=np.linspace (0, meta_width, 1000)；
Yi=np.linspace (0, meta_depth, 1000)；
[X, Y]=np.meshgrid (xi, yi)；
Temp_grid=griddata (points, temp, (X, Y), method='cubic') # interpolation method.
8. grain temperature data visualization method according to claim 1, which is characterized in that pass through temperature field in the step S3
Figure layering shows grain temperature, and specific step is as follows:
The data that S301, the coordinate for taking each layer of transformation to complete and interpolation processing are completed；
S302, using the matplotlib tool in Matlab or python, carry out the drafting of layering cereal temperature field figure.
9. a kind of grain temperature data visualization device, which is characterized in that the device includes,
Temperature measuring point coordinate transformation unit is coordinately transformed processing for the coordinate to temperature measuring point；
Adjacent temperature measuring point interpolation process unit, for obtaining the temperature of grain between the adjacent temperature measuring point of same layer by interpolation；
Thermal stratification display unit, for showing grain temperature by the layering of temperature field figure.
10. grain temperature data visualization device according to claim 9, which is characterized in that the temperature measuring point coordinate conversion is single
Member includes temperature measuring point row coordinate transformation unit and thermometric point range coordinate transformation unit；
Temperature measuring point row coordinate transformation unit is for converting the row coordinate of temperature measuring point, conversion regime are as follows:
Row coordinate=0.3+ (column-minimum column) * (warehouse width -0.6)/(maximum column-minimum column)；
Thermometric point range coordinate transformation unit is for converting the column coordinate of temperature measuring point, conversion regime are as follows:
Column coordinate=0.3+ (row -1) * (warehouse length -0.6)/(maximum row -1).
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111707314A (en) * | 2020-07-14 | 2020-09-25 | 南京优助智能科技有限公司 | Overall observation and evaluation method and system for multiple temperature and humidity measuring points |
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| CN102779320A (en) * | 2012-06-28 | 2012-11-14 | 郑州华粮科技股份有限公司 | Standard mathematical model system for alarming grain storage temperature and humidity |
| WO2017211300A1 (en) * | 2016-06-07 | 2017-12-14 | 中兴通讯股份有限公司 | Method and device for displaying temperature data |
| CN109000810A (en) * | 2018-06-12 | 2018-12-14 | 山东浪潮通软信息科技有限公司 | A kind of multidimensional grain temperature display systems and method |
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| CN102779320A (en) * | 2012-06-28 | 2012-11-14 | 郑州华粮科技股份有限公司 | Standard mathematical model system for alarming grain storage temperature and humidity |
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| CN109000810A (en) * | 2018-06-12 | 2018-12-14 | 山东浪潮通软信息科技有限公司 | A kind of multidimensional grain temperature display systems and method |
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