CN117540934A - Intelligent monitoring system for wheat growth period based on data analysis - Google Patents
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Abstract
The invention belongs to the technical field of planting supervision, and particularly relates to an intelligent monitoring system for a wheat growth period based on data analysis. According to the invention, wheat growth is analyzed in a point-to-surface mode, so that wheat in each area is reasonably managed in time, and meanwhile, the survival rate of the wheat is improved and the growth condition of the wheat is improved in a manual treatment mode, thereby being beneficial to improving the supervision and early warning performance of the wheat; the data integration is carried out on the regional block wheat in an information feedback mode, so that reasonable management is facilitated on the wheat in the whole planting area, and the growth quality of the wheat in the whole planting area is ensured; when the planting area is managed, the management and control are reasonably carried out by combining the growth risk interference diffusion condition of the wheat in the subarea blocks so as to improve the management rationality of the planting area.
Description
Technical Field
The invention belongs to the technical field of planting supervision, and particularly relates to an intelligent monitoring system for a wheat growth period based on data analysis.
Background
The cultivation history of wheat is more than 1 ten thousand years, and is one of the most important ration, the wheat is widely cultivated in the south and north places, and the development of the wheat industry is directly related to grain safety and social stability.
At present, monitoring management on the aspect of crop growth mainly relies on manual work to manage, such as aspects such as soil irrigation, pesticide spraying, soil fertilization and the like, but the mode of modern outdoor planting wheat has the problem that supervision degree is low and accuracy is poor, especially to the wheat of large tracts of land planting, can't accurately judge the influence level of the growth environment of wheat to nursery stock growth, and then reduces the growth quality and the survival rate of planting district wheat, and can't rationalize management regulation and control according to wheat growth trend.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
According to the defects of the prior art, the invention aims to provide the intelligent monitoring system for the wheat growth period based on data analysis, which can reasonably manage the wheat in each area in time, and simultaneously improve the survival rate of the wheat and the growth condition of the wheat in a manual treatment mode, thereby being beneficial to improving the monitoring and early warning performance of the wheat and rationalizing the wheat in the whole planting area.
The aim of the invention can be achieved by the following technical scheme: the intelligent monitoring system for the wheat growth period based on data analysis comprises a monitoring platform, a data acquisition unit, a verification feedback unit, a growth monitoring unit, a growth trend unit, an early warning management unit and a diffusion evaluation unit;
when the supervision platform generates a supervision instruction, the supervision instruction is sent to the data acquisition unit, the data acquisition unit immediately acquires growth environment data of the wheat planting area and effective data of the monitoring equipment after receiving the supervision instruction, the growth environment data comprise a soil quality evaluation value, an air quality evaluation value and a growth promotion evaluation value, the effective data comprise an operation risk value and an analysis value, the growth environment data and the effective data are respectively sent to the verification feedback unit and the growth supervision unit, and the growth supervision unit immediately carries out growth condition evaluation supervision analysis on the growth environment data after receiving the growth environment data, and sends obtained normal signals and risk signals to the early warning management unit and the growth trend unit;
the verification feedback unit immediately performs data effective verification supervision analysis on the effective data after receiving the effective data, sends the obtained effective signal to the growth trend unit, and sends the obtained failure signal to the early warning management unit through the growth trend unit;
after receiving the effective signal, the normal signal and the risk signal, the growth trend unit immediately carries out growth trend evaluation, supervision and analysis and feedback management operation on the growth risk evaluation value Si corresponding to the normal signal and the risk signal, sends an obtained management and control signal to the early warning management unit and the diffusion evaluation unit, and sends the obtained regulation and control signal to the early warning management unit;
and the diffusion evaluation unit immediately acquires a management response value of the planting area after receiving the management control signal, performs growth interference diffusion supervision evaluation analysis on the management response value, and sends the obtained interference signal to the early warning management unit through the growth trend unit.
Preferably, the growth condition assessment, supervision and analysis process of the growth supervision unit is as follows:
s1: dividing a wheat planting area into i subregion blocks, wherein i is a natural number larger than zero, monitoring equipment is arranged on each subregion block, the time length of a period of time in a wheat growth period is obtained, the time length is marked as a time threshold, soil quality evaluation values TZi in each subregion block in the time threshold are obtained, the soil quality evaluation values TZi represent the number of corresponding values in soil information exceeding a preset threshold, the soil information comprises a soil humidity value and a growth risk value, and the growth risk value represents a part of a product value obtained by carrying out data normalization processing on a soil oxygen concentration average value and a soil microorganism content average value, wherein the product value is smaller than the preset threshold;
s2: acquiring air quality evaluation values KZi in all subarea blocks in a time threshold, wherein the air quality evaluation values KZi represent the number of corresponding values in gas parameters exceeding a preset threshold, the gas parameters comprise an environment dust concentration average value and a unit area harmful winged insect density, and simultaneously acquiring growth promotion evaluation values NCi in all subarea blocks in the time threshold, wherein the growth promotion evaluation values NCi represent the number of times of watering, removing the harmful times and fertilizing reaching the preset times;
s3: according to the formulaObtaining growth risk assessment values of all sub-area blocks, wherein a1, a2 and a3 are respectively preset scale factor coefficients of a soil quality assessment value, an air quality assessment value and a growth promotion assessment value, a1, a2 and a3 are positive numbers larger than zero, and a4 isThe method comprises the steps of presetting a fault tolerance factor coefficient, wherein the value is 1.128, si is a growth risk evaluation value of each subarea block, and comparing the growth risk evaluation value Si with a preset growth risk evaluation value threshold value recorded and stored in the growth risk evaluation value Si:
if the ratio between the growth risk assessment value Si and the preset growth risk assessment value threshold is smaller than 1, generating a normal signal;
and if the ratio of the growth risk assessment value Si to the preset growth risk assessment value threshold is greater than or equal to 1, generating a risk signal.
Preferably, the data valid verification supervision analysis process of the verification feedback unit is as follows:
acquiring an operation risk value of monitoring equipment in a time threshold, wherein the operation risk value represents the number of the operation parameter corresponding to the value exceeding a preset threshold, the operation parameter comprises an operation voltage average value and a reactive power change value, the operation risk value is compared with the preset operation risk value threshold which is recorded and stored in the operation risk value, if the operation risk value is smaller than the preset operation risk value threshold, a verification instruction is generated, when the verification instruction is generated, the monitoring equipment in each sub-time period acquires an analysis value of each data, the analysis value represents the corresponding value of each data acquired by the monitoring equipment in the sub-time period, the analysis value is marked as the analysis value, the analysis value in different sub-time periods of the same data type is further acquired, the acquired data type is marked as m, m is a natural number which is larger than zero, the data type comprises a soil humidity value, a growth risk value, an environment dust concentration average value and a unit area harmful flying insect density, the analysis value is marked as SZmi, a set of the analysis value SZmi is constructed, a discrete coefficient of the set of the analysis value is acquired, and the analysis value SZmi is marked as a data abnormal wave evaluation value YBm;
the data abnormal wave evaluation value YBm is compared with a preset data abnormal wave evaluation value threshold YZm which is recorded and stored in the data abnormal wave evaluation value YBm:
if the data abnormal wave evaluation value YBm is smaller than the preset data abnormal wave evaluation value threshold YZm, generating a valid signal;
if the data abnormal wave evaluation value YBm is greater than or equal to the preset data abnormal wave evaluation value threshold YZm, a failure signal is generated.
Preferably, the growth trend assessment, supervision and analysis process of the growth trend unit is as follows:
acquiring a growth risk evaluation value Sik of each sub-area block wheat in a history k time thresholds, wherein k is a natural number larger than zero, acquiring a growth risk evaluation value Sig of each sub-area block wheat in a next g time thresholds, further acquiring the total number of the growth risk evaluation values, constructing a set A of the growth risk evaluation values, constructing a rectangular coordinate system by taking the number of subsets in the set A as an X axis and the growth risk evaluation values as a Y axis, drawing a growth risk evaluation value curve in a dot drawing manner, further acquiring a change trend value of the growth risk evaluation value curve, marking the change trend value as a risk trend value Fi, and comparing the risk trend value Fi with a preset risk trend value threshold recorded and stored in the risk trend value Fi:
if the risk trend value Fi is smaller than a preset risk trend value threshold value, no signal is generated;
and if the risk trend value Fi is greater than or equal to a preset risk trend value threshold value, generating a management and control signal.
Preferably, the feedback management operation process of the growth trend unit is as follows:
acquiring the total number of the sub-area blocks corresponding to the normal signals, acquiring the total number of the sub-area blocks corresponding to the risk signals, further acquiring the ratio between the total number of the sub-area blocks corresponding to the normal signals and the total number of the sub-area blocks corresponding to the risk signals, marking the ratio between the total number of the sub-area blocks corresponding to the normal signals and the total number of the sub-area blocks corresponding to the risk signals as stable evaluation values, acquiring the stable evaluation values of the planting areas in the k time thresholds of the history, simultaneously acquiring the stable evaluation values of the planting areas in the g time thresholds, further acquiring the total number of the stable evaluation values, constructing a set B of the stable evaluation values, further acquiring the average value in the set B, and marking the average value difference value in the set B as stable growth span value;
comparing the stable growth span value with a preset stable growth span value threshold value recorded and stored in the stable growth span value, and analyzing the stable growth span value:
if the stable growth span value is smaller than the preset stable growth span value threshold value, no signal is generated;
and if the stable growth span value is greater than or equal to a preset stable growth span value threshold value, generating a regulating and controlling signal.
Preferably, the growth interference diffusion supervision, assessment and analysis process of the diffusion assessment unit is as follows:
acquiring the total number of the sub-area blocks corresponding to the control signals, further acquiring the ratio of the total number of the sub-area blocks corresponding to the control signals to the total number of the sub-area blocks, and marking the ratio of the total number of the sub-area blocks corresponding to the control signals to the total number of the sub-area blocks as a risk ratio;
acquiring a management response value of a planting area in a time threshold, wherein the management response value represents a product value obtained by carrying out data normalization processing on an average value of the management values and the number of times of carrying out management adjustment, the execution management value represents a time period from a management adjustment early warning time to a management adjustment execution time, and the risk occupation ratio and the management response value are respectively marked as FZ and GX;
according to the formulaObtaining an interference diffusion evaluation coefficient, wherein f1 and f2 are preset weight factor coefficients of a risk ratio and a management response value respectively, f1 and f2 are positive numbers larger than zero, f3 is a preset compensation factor coefficient, the value is 1.882, KS is the interference diffusion evaluation coefficient, and the interference diffusion evaluation coefficient KS is compared with a preset interference diffusion evaluation coefficient threshold value recorded and stored in the interference diffusion evaluation coefficient:
if the interference diffusion evaluation coefficient is smaller than a preset interference diffusion evaluation coefficient threshold value, no signal is generated;
if the interference diffusion evaluation coefficient KS is greater than or equal to a preset interference diffusion evaluation coefficient threshold value, an interference signal is generated.
The beneficial effects of the invention are as follows:
(1) According to the invention, wheat growth is analyzed in a point-to-surface mode, so that wheat in each area can be reasonably managed in time, and meanwhile, the survival rate of the wheat is increased and the growth condition of the wheat is improved in a manual treatment mode, thereby being beneficial to improving the supervision and early warning performance of the wheat. The method has the advantages that the data integration is carried out on the regional wheat in the mode of information feedback, the rationalization management is facilitated on the whole wheat in the planting area, so that the growth quality of the whole wheat in the planting area is guaranteed, and the rationalization management and control are carried out by combining the growth risk interference diffusion condition of the regional wheat when the planting area is managed, so that the rationality of the management of the planting area is improved.
(2) The invention judges the authenticity and the validity of the acquired data by verifying the data acquired by the monitoring equipment so as to ensure the accuracy of the subsequent analysis result, and analyzes the growth risk trend of the wheat in the sub-area block and the wheat in the whole planting area on the premise of effective data so as to adjust the management decision of the wheat in each sub-area block and the wheat in the whole planting area so as to ensure the growth quality of the wheat in the whole planting area.
Drawings
FIG. 1 is a flow chart of the system of the present invention;
fig. 2 is a partial analysis reference diagram of the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention are clearly and completely described below with reference to the accompanying drawings.
Embodiment one:
as shown in fig. 1 and 2, the intelligent monitoring system for the wheat growth period based on data analysis comprises a monitoring platform, a data acquisition unit, a verification feedback unit, a growth monitoring unit, a growth trend unit, an early warning management unit and a diffusion evaluation unit, wherein the monitoring platform is in one-way communication connection with the data acquisition unit, the data acquisition unit is in one-way communication connection with the verification feedback unit, the verification feedback unit is in one-way communication connection with the growth monitoring unit, the growth monitoring unit is in one-way communication connection with the early warning management unit and the growth trend unit, the growth trend unit is in two-way communication connection with the diffusion evaluation unit, and the growth trend unit is in one-way communication connection with the early warning management unit.
When the supervision platform generates a supervision instruction, the supervision instruction is sent to the data acquisition unit, the data acquisition unit immediately acquires the growth environment data of the wheat planting area and the effective data of the monitoring equipment after receiving the supervision instruction, the growth environment data comprises a soil quality evaluation value, an air quality evaluation value and a growth promotion evaluation value, the effective data comprises an operation risk value and an analysis value, the growth environment data and the effective data are respectively sent to the verification feedback unit and the growth supervision unit, the growth supervision unit immediately carries out growth condition evaluation supervision analysis on the growth environment data after receiving the growth environment data so as to judge whether the growth conditions of all the areas of the wheat reach the standard or not, so that the survival rate of the wheat in all the areas is reasonably managed in time, the growth conditions of the wheat are improved in a manual treatment mode, the early warning performance of the wheat is improved, and the specific growth condition evaluation supervision analysis process is as follows:
dividing a wheat planting area into i sub-area blocks, wherein i is a natural number larger than zero, monitoring equipment is arranged on each sub-area block, the time length of a period of time in a wheat growth period is obtained, the time length is marked as a time threshold, soil quality evaluation values TZi in each sub-area block in the time threshold are obtained, the soil quality evaluation values TZi represent the number of corresponding values in soil information exceeding a preset threshold, the soil information comprises a soil humidity value, a growth risk value and the like, the growth risk value represents a part, obtained by carrying out data normalization processing on a soil oxygen concentration average value and a soil microorganism content average value, of which the product value is smaller than the preset threshold is required to be described, and the larger the tree value of the soil quality evaluation values TZi is, the larger the abnormal risk of wheat growth health is.
The method comprises the steps of acquiring air quality evaluation values KZi in all subarea blocks in a time threshold, wherein the air quality evaluation values KZi represent the number of the corresponding values in gas parameters exceeding a preset threshold, the gas parameters comprise an environment dust concentration average value, a unit area harmful flying insect density and the like, simultaneously acquiring growth promotion evaluation values NCi in all subarea blocks in the time threshold, and the growth promotion evaluation values NCi represent the number of times reaching the preset times in watering times, pest removal times, fertilization times and the like.
According to the formulaObtaining growth risk assessment values of all the subarea blocks, wherein a1, a2 and a3 are respectively preset scale factor coefficients of a soil quality assessment value, an air quality assessment value and a growth promotion assessment value, the scale factor coefficients are used for correcting deviation of all parameters in a formula calculation process, so that calculation results are more accurate, a1, a2 and a3 are positive numbers larger than zero, a4 is a preset fault tolerance factor coefficient, the value is 1.128, si is the growth risk assessment value of each subarea block, and the growth risk assessment value Si is compared with a preset growth risk assessment value threshold value recorded and stored in the growth risk assessment value Si:
if the ratio between the growth risk assessment value Si and the preset growth risk assessment value threshold is smaller than 1, generating a normal signal;
if the ratio between the growth risk assessment value Si and the preset growth risk assessment value threshold is greater than or equal to 1, a risk signal is generated, a normal signal and the risk signal are sent to an early warning management unit and a growth trend unit, and after the normal signal and the risk signal are received, the early warning management unit immediately marks the subareas corresponding to the normal signal and the risk signal as green and red respectively, so that the growth condition of each subarea wheat can be intuitively known, the wheat in each subarea can be reasonably managed in time, the survival rate of the wheat is improved and the growth condition of the wheat is improved in a manual treatment mode, and the supervision and early warning performance of the wheat is improved.
The verification feedback unit immediately performs data effective verification supervision analysis on the effective data after receiving the effective data so as to judge the authenticity and the effectiveness of the acquired data and ensure the accuracy of the subsequent analysis result, and the specific data effective verification supervision analysis process is as follows:
acquiring an operation risk value of the monitoring equipment in the time threshold, wherein the operation risk value represents the number that the value corresponding to the operation parameter exceeds the preset threshold, the operation parameter comprises an operation voltage average value, a reactive power change value and the like, the operation risk value is compared with the preset operation risk value threshold which is recorded and stored in the operation risk value, if the operation risk value is smaller than the preset operation risk value threshold, a verification instruction is generated, when the verification instruction is generated, the monitoring equipment in each sub-time period is acquired, the analysis value represents the value corresponding to the data acquired by the monitoring equipment in each sub-time period, the analysis value is marked as the analysis value, the analysis value in different sub-time periods of the same data type is acquired, the acquired data type is marked as m, m is a natural number which is larger than zero, the data type comprises a soil humidity value, a growth risk value, an environment dust concentration average value, a unit area harmful flying insect density and the like, the analysis value is SZmi, a set is constructed, a discrete coefficient of the analysis value SZmi set is acquired, the analysis value is marked as an abnormal wave value YBm, the abnormal evaluation value is larger than the abnormal evaluation value is required, and the abnormal risk is larger than the abnormal risk evaluation value is YBm.
The data abnormal wave evaluation value YBm is compared with a preset data abnormal wave evaluation value threshold YZm which is recorded and stored in the data abnormal wave evaluation value YBm:
if the data abnormal wave evaluation value YBm is smaller than the preset data abnormal wave evaluation value threshold YZm, generating an effective signal and sending the effective signal to the growth trend unit;
if the data abnormal wave evaluation value YBm is greater than or equal to the preset data abnormal wave evaluation value threshold YZm, generating a failure signal, and sending the failure signal to the early warning management unit through the growth trend unit, wherein the early warning management unit immediately displays the monitoring equipment number corresponding to the failure signal after receiving the failure signal, so that the monitoring equipment is maintained and managed in time, and the authenticity and the effectiveness of the data are ensured.
Embodiment two:
in this embodiment, after receiving the effective signal, the normal signal and the risk signal, the growth trend unit immediately performs growth trend evaluation, supervision and analysis on the growth risk evaluation value Si corresponding to the normal signal and the risk signal, which is helpful for knowing the growth risk trend of each sub-region block wheat, so as to adjust the wheat management decision of each sub-region block, and further help to understand the growth risk trend of the wheat in the whole planting region, so as to reasonably perform rational management on the wheat in the whole planting region, so as to ensure the growth quality of the wheat in the whole planting region, and the specific growth trend evaluation, supervision and analysis process is as follows:
acquiring a growth risk evaluation value Sik of each sub-area block wheat in a history k time thresholds, wherein k is a natural number larger than zero, acquiring a growth risk evaluation value Sig of each sub-area block wheat in a next g time thresholds, further acquiring the total number of the growth risk evaluation values, constructing a set A of the growth risk evaluation values, constructing a rectangular coordinate system by taking the number of subsets in the set A as an X axis and the growth risk evaluation values as a Y axis, drawing a growth risk evaluation value curve in a dot drawing manner, further acquiring a change trend value of the growth risk evaluation value curve, marking the change trend value as a risk trend value Fi, and comparing the risk trend value Fi with a preset risk trend value threshold recorded and stored in the risk trend value Fi:
if the risk trend value Fi is smaller than a preset risk trend value threshold value, no signal is generated;
if the risk trend value Fi is larger than or equal to a preset risk trend value threshold value, a management and control signal is generated and sent to an early warning management unit and a diffusion evaluation unit, and after the management and control signal is received, the early warning management unit immediately displays 'adjustment' characters on a subarea block corresponding to the management and control signal for early warning display, so that management and adjustment are carried out on subareas with excessively high growth risk in time, and the growth quality of wheat in each subarea block is improved.
The method comprises the steps of obtaining the total number of sub-area blocks corresponding to normal signals, obtaining the total number of sub-area blocks corresponding to risk signals, further obtaining the ratio between the total number of sub-area blocks corresponding to normal signals and the total number of sub-area blocks corresponding to risk signals, marking the ratio between the total number of sub-area blocks corresponding to normal signals and the total number of sub-area blocks corresponding to risk signals as stable evaluation values, obtaining the stable evaluation values of planting areas in k historical time thresholds, obtaining the stable evaluation values of the planting areas in the next g time thresholds, further obtaining the total number of stable evaluation values, constructing a set B of stable evaluation values, further obtaining the average value in the set B, marking the average value difference value in the set B as a stable growth span value, and the larger the value of the stable growth span value is, the smaller the abnormal risk of the whole growth of wheat in the planting area is required to be described.
Comparing the stable growth span value with a preset stable growth span value threshold value recorded and stored in the stable growth span value, and analyzing the stable growth span value:
if the stable growth span value is smaller than the preset stable growth span value threshold value, no signal is generated;
if the stable growth span value is greater than or equal to a preset stable growth span value threshold value, a regulating and controlling signal is generated and sent to an early warning management unit, and the early warning management unit immediately displays preset early warning characters corresponding to the regulating and controlling signal after receiving the regulating and controlling signal, so that reasonable management is carried out on the wheat in the whole planting area, and the growth quality of the wheat in the whole planting area is ensured.
The diffusion evaluation unit immediately acquires a management response value of the planting area after receiving the management control signal, and performs growth interference diffusion supervision, evaluation and analysis on the management response value so as to know the interference condition of the abnormal growth area and the management response on the growth of the wheat in the normal area, so that the planting area is managed reasonably, and the specific growth interference diffusion supervision, evaluation and analysis process is as follows:
acquiring the total number of the sub-area blocks corresponding to the management and control signals, further acquiring the ratio of the total number of the sub-area blocks corresponding to the management and control signals to the total number of the sub-area blocks, and marking the ratio of the total number of the sub-area blocks corresponding to the management and control signals to the total number of the sub-area blocks as a risk ratio, wherein the larger the value of the risk ratio is, the higher the planting area management requirement degree is;
obtaining a management response value of the planting area in the time threshold, wherein the management response value represents a product value obtained by carrying out data normalization processing on an average value of the management values and the times of carrying out management adjustment, the execution management value represents a time period from a management adjustment early warning time to a management adjustment execution time, and the risk occupation ratio and the management response value are respectively marked as FZ and GX.
According to the formulaObtaining an interference diffusion evaluation coefficient, wherein f1 and f2 are preset weight factor coefficients of a risk ratio and a management response value respectively, f1 and f2 are positive numbers larger than zero, f3 is a preset compensation factor coefficient, the value is 1.882, KS is the interference diffusion evaluation coefficient, and the interference diffusion evaluation coefficient KS is compared with a preset interference diffusion evaluation coefficient threshold value recorded and stored in the interference diffusion evaluation coefficient:
if the interference diffusion evaluation coefficient is smaller than a preset interference diffusion evaluation coefficient threshold value, no signal is generated;
if the interference diffusion evaluation coefficient KS is greater than or equal to a preset interference diffusion evaluation coefficient threshold value, an interference signal is generated, the interference signal is sent to an early warning management unit through a growth trend unit, and the early warning management unit immediately displays preset early warning characters corresponding to the interference signal after receiving the interference signal, so that the rationalization management and control are carried out on the combination of the interference diffusion condition when the planting area is managed, and the management rationality of the planting area is improved.
In summary, the wheat growth is analyzed in a point-to-surface manner, so that the wheat in each area is reasonably managed in time, the survival rate of the wheat is increased and the growth condition of the wheat is improved in a manual treatment manner, the monitoring and early warning performance of the wheat is improved, the data integration of the wheat in the area is realized in an information feedback manner, and the reasonable management of the wheat in the whole planting area is facilitated, so that the growth quality of the wheat in the whole planting area is ensured. When managing the planting district, combine subregion piece wheat growth risk to interfere the diffusion condition and rationalize management and control to improve the rationality of planting district management, in addition, verify the data that monitoring facilities gathered, with the authenticity and the validity of judging the data that gathers, in order to guarantee the accuracy of follow-up analysis result, and under the effectual prerequisite of data, the growth risk trend of subregion piece wheat and whole planting district wheat is analyzed, so that each subregion piece and whole planting district wheat management decision is adjusted, in order to guarantee the growth quality of whole planting district wheat.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
Claims (6)
1. The intelligent monitoring system for the wheat growth period based on the data analysis is characterized by comprising a monitoring platform, a data acquisition unit, a verification feedback unit, a growth monitoring unit, a growth trend unit, an early warning management unit and a diffusion evaluation unit;
when the supervision platform generates a supervision instruction, the supervision instruction is sent to the data acquisition unit, the data acquisition unit immediately acquires growth environment data of the wheat planting area and effective data of the monitoring equipment after receiving the supervision instruction, the growth environment data comprise a soil quality evaluation value, an air quality evaluation value and a growth promotion evaluation value, the effective data comprise an operation risk value and an analysis value, the growth environment data and the effective data are respectively sent to the verification feedback unit and the growth supervision unit, and the growth supervision unit immediately carries out growth condition evaluation supervision analysis on the growth environment data after receiving the growth environment data, and sends obtained normal signals and risk signals to the early warning management unit and the growth trend unit;
the verification feedback unit immediately performs data effective verification supervision analysis on the effective data after receiving the effective data, sends the obtained effective signal to the growth trend unit, and sends the obtained failure signal to the early warning management unit through the growth trend unit;
after receiving the effective signal, the normal signal and the risk signal, the growth trend unit immediately carries out growth trend evaluation, supervision and analysis and feedback management operation on the growth risk evaluation value Si corresponding to the normal signal and the risk signal, sends an obtained management and control signal to the early warning management unit and the diffusion evaluation unit, and sends the obtained regulation and control signal to the early warning management unit;
and the diffusion evaluation unit immediately acquires a management response value of the planting area after receiving the management control signal, performs growth interference diffusion supervision evaluation analysis on the management response value, and sends the obtained interference signal to the early warning management unit through the growth trend unit.
2. The intelligent monitoring system for the growth cycle of wheat based on data analysis according to claim 1, wherein the growth condition assessment, monitoring and analysis process of the growth monitoring unit is as follows:
s1: dividing a wheat planting area into i subregion blocks, wherein i is a natural number larger than zero, monitoring equipment is arranged on each subregion block, the time length of a period of time in a wheat growth period is obtained, the time length is marked as a time threshold, soil quality evaluation values TZi in each subregion block in the time threshold are obtained, the soil quality evaluation values TZi represent the number of corresponding values in soil information exceeding a preset threshold, the soil information comprises a soil humidity value and a growth risk value, and the growth risk value represents a part of a product value obtained by carrying out data normalization processing on a soil oxygen concentration average value and a soil microorganism content average value, wherein the product value is smaller than the preset threshold;
s2: acquiring air quality evaluation values KZi in all subarea blocks in a time threshold, wherein the air quality evaluation values KZi represent the number of corresponding values in gas parameters exceeding a preset threshold, the gas parameters comprise an environment dust concentration average value and a unit area harmful winged insect density, and simultaneously acquiring growth promotion evaluation values NCi in all subarea blocks in the time threshold, wherein the growth promotion evaluation values NCi represent the number of times of watering, removing the harmful times and fertilizing reaching the preset times;
s3: according to the formulaObtaining growth risk evaluation values of all sub-area blocks, wherein a1, a2 and a3 are respectively soil quality evaluation valuesThe method comprises the steps that the preset scale factor coefficients of an estimated value, an air quality estimated value and a growth promotion estimated value are positive numbers larger than zero, a1, a2 and a3 are preset fault tolerance factor coefficients, a4 is a preset fault tolerance factor coefficient, the value is 1.128, si is a growth risk estimated value of each subarea block, and the growth risk estimated value Si is compared with a preset growth risk estimated value threshold value recorded and stored in the growth risk estimated value Si:
if the ratio between the growth risk assessment value Si and the preset growth risk assessment value threshold is smaller than 1, generating a normal signal;
and if the ratio of the growth risk assessment value Si to the preset growth risk assessment value threshold is greater than or equal to 1, generating a risk signal.
3. The intelligent supervisory system for wheat growth cycle based on data analysis according to claim 1, wherein the data valid verification supervisory analysis process of the verification feedback unit is as follows:
acquiring an operation risk value of monitoring equipment in a time threshold, wherein the operation risk value represents the number of the operation parameter corresponding to the value exceeding a preset threshold, the operation parameter comprises an operation voltage average value and a reactive power change value, the operation risk value is compared with the preset operation risk value threshold which is recorded and stored in the operation risk value, if the operation risk value is smaller than the preset operation risk value threshold, a verification instruction is generated, when the verification instruction is generated, the monitoring equipment in each sub-time period acquires an analysis value of each data, the analysis value represents the corresponding value of each data acquired by the monitoring equipment in the sub-time period, the analysis value is marked as the analysis value, the analysis value in different sub-time periods of the same data type is further acquired, the acquired data type is marked as m, m is a natural number which is larger than zero, the data type comprises a soil humidity value, a growth risk value, an environment dust concentration average value and a unit area harmful flying insect density, the analysis value is marked as SZmi, a set of the analysis value SZmi is constructed, a discrete coefficient of the set of the analysis value is acquired, and the analysis value SZmi is marked as a data abnormal wave evaluation value YBm;
the data abnormal wave evaluation value YBm is compared with a preset data abnormal wave evaluation value threshold YZm which is recorded and stored in the data abnormal wave evaluation value YBm:
if the data abnormal wave evaluation value YBm is smaller than the preset data abnormal wave evaluation value threshold YZm, generating a valid signal;
if the data abnormal wave evaluation value YBm is greater than or equal to the preset data abnormal wave evaluation value threshold YZm, a failure signal is generated.
4. The intelligent monitoring system for the growth cycle of wheat based on data analysis according to claim 1, wherein the growth trend assessment, monitoring and analysis process of the growth trend unit is as follows:
acquiring a growth risk evaluation value Sik of each sub-area block wheat in a history k time thresholds, wherein k is a natural number larger than zero, acquiring a growth risk evaluation value Sig of each sub-area block wheat in a next g time thresholds, further acquiring the total number of the growth risk evaluation values, constructing a set A of the growth risk evaluation values, constructing a rectangular coordinate system by taking the number of subsets in the set A as an X axis and the growth risk evaluation values as a Y axis, drawing a growth risk evaluation value curve in a dot drawing manner, further acquiring a change trend value of the growth risk evaluation value curve, marking the change trend value as a risk trend value Fi, and comparing the risk trend value Fi with a preset risk trend value threshold recorded and stored in the risk trend value Fi:
if the risk trend value Fi is smaller than a preset risk trend value threshold value, no signal is generated;
and if the risk trend value Fi is greater than or equal to a preset risk trend value threshold value, generating a management and control signal.
5. The intelligent supervisory system for the wheat growth cycle based on data analysis according to claim 4, wherein the feedback management operation process of the growth trend unit is as follows:
acquiring the total number of the sub-area blocks corresponding to the normal signals, acquiring the total number of the sub-area blocks corresponding to the risk signals, further acquiring the ratio between the total number of the sub-area blocks corresponding to the normal signals and the total number of the sub-area blocks corresponding to the risk signals, marking the ratio between the total number of the sub-area blocks corresponding to the normal signals and the total number of the sub-area blocks corresponding to the risk signals as stable evaluation values, acquiring the stable evaluation values of the planting areas in the k time thresholds of the history, simultaneously acquiring the stable evaluation values of the planting areas in the g time thresholds, further acquiring the total number of the stable evaluation values, constructing a set B of the stable evaluation values, further acquiring the average value in the set B, and marking the average value difference value in the set B as stable growth span value;
comparing the stable growth span value with a preset stable growth span value threshold value recorded and stored in the stable growth span value, and analyzing the stable growth span value:
if the stable growth span value is smaller than the preset stable growth span value threshold value, no signal is generated;
and if the stable growth span value is greater than or equal to a preset stable growth span value threshold value, generating a regulating and controlling signal.
6. The intelligent monitoring system for the growth cycle of the wheat based on data analysis according to claim 1, wherein the growth disturbance diffusion monitoring, evaluating and analyzing process of the diffusion evaluating unit is as follows:
acquiring the total number of the sub-area blocks corresponding to the control signals, further acquiring the ratio of the total number of the sub-area blocks corresponding to the control signals to the total number of the sub-area blocks, and marking the ratio of the total number of the sub-area blocks corresponding to the control signals to the total number of the sub-area blocks as a risk ratio;
acquiring a management response value of a planting area in a time threshold, wherein the management response value represents a product value obtained by carrying out data normalization processing on an average value of the management values and the number of times of carrying out management adjustment, the execution management value represents a time period from a management adjustment early warning time to a management adjustment execution time, and the risk occupation ratio and the management response value are respectively marked as FZ and GX;
according to the formulaObtaining an interference diffusion evaluation coefficient, wherein f1 and f2 are preset risk ratio and management response value respectivelyThe weight factor coefficients, f1 and f2 are positive numbers larger than zero, f3 is a preset compensation factor coefficient, the value is 1.882, KS is an interference diffusion evaluation coefficient, and the interference diffusion evaluation coefficient KS is compared with a preset interference diffusion evaluation coefficient threshold value recorded and stored in the interference diffusion evaluation coefficient KS:
if the interference diffusion evaluation coefficient is smaller than a preset interference diffusion evaluation coefficient threshold value, no signal is generated;
if the interference diffusion evaluation coefficient KS is greater than or equal to a preset interference diffusion evaluation coefficient threshold value, an interference signal is generated.
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