CN115938083A - Agricultural monitoring and early warning method and system based on mobile terminal - Google Patents
Agricultural monitoring and early warning method and system based on mobile terminal Download PDFInfo
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Abstract
The invention belongs to the technical field of agricultural monitoring, and particularly relates to an agricultural monitoring and early warning method and system based on a mobile terminal, wherein the early warning system comprises an agricultural monitoring and early warning platform, the agricultural monitoring and early warning platform is in communication connection with an agricultural monitoring partition module, a crop growth situation judgment module, a region coordination analysis module and an influence factor investigation judgment module, and the agricultural monitoring and early warning platform is in communication connection with the mobile terminal; the agricultural monitoring system carries out crop growth situation analysis on the monitoring subareas through the crop growth situation judgment module to realize effective monitoring on all subareas in the agricultural monitoring area, carries out coordination analysis on the agricultural monitoring area through the area coordination analysis module to enable agricultural managers to know the crop growth situation difference condition among all monitoring subareas in time, and carries out factor correlation analysis on unqualified monitoring subareas through the influence factor checking and judgment module to strengthen areas in the subsequent process.
Description
Technical Field
The invention relates to the technical field of agricultural monitoring, in particular to an agricultural monitoring and early warning method and system based on a mobile terminal.
Background
Crops refer to various plants cultivated in agriculture, including two categories of grain crops and economic crops, a greenhouse is commonly adopted in the field of agriculture at present for planting and producing the crops, however, when the crops are planted in the greenhouse, the existing agricultural monitoring and early warning system mainly monitors and regulates the temperature in the greenhouse, effective monitoring of all sub-areas of a monitoring area cannot be guaranteed, evaluation and judgment of the growth situation of the crops in all the sub-areas are difficult to realize, early warning is carried out when the growth situation of the crops is unqualified, correlation analysis and investigation of influence factors cannot be carried out on the areas with unqualified growth situation of the crops, and agricultural managers cannot accurately know the growth situation difference conditions of the crops in all the sub-areas when the crops in all the sub-areas are qualified in growth;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to provide an agricultural monitoring and early warning method and system based on a mobile terminal, and solves the problems that the existing agricultural monitoring and early warning system is difficult to evaluate and judge the growth situation of crops in each subregion and carry out early warning when the growth situation of the crops is unqualified, the correlation analysis and investigation of influencing factors can not be carried out on the region with unqualified growth situation of the crops, and agricultural managers are difficult to accurately know the growth situation difference condition of the crops in each subregion when the crops in each subregion are qualified.
In order to achieve the purpose, the invention provides the following technical scheme:
a mobile terminal-based agricultural monitoring and early warning method comprises the following steps:
step one, an agricultural monitoring subarea module collects an agricultural monitoring area, divides the agricultural monitoring area into a plurality of monitoring subareas and sends the monitoring subareas to an agricultural monitoring and early warning platform;
secondly, the agricultural monitoring and early warning platform generates a crop growth situation analysis signal and sends the crop growth situation analysis signal to a crop growth situation judgment module, and the crop growth situation judgment marks the monitoring subareas as qualified growth subareas or unqualified growth subareas and sends the qualified growth subareas or unqualified growth subareas to the agricultural monitoring and early warning platform;
if unqualified growth subregions do not exist, the agricultural monitoring and early warning platform generates a region coordination analysis signal and sends the region coordination analysis signal to a region coordination analysis module, and the step four is carried out;
if the unqualified growth subareas exist, the agricultural monitoring and early warning platform generates an influence factor analysis signal and sends the influence factor analysis signal to an influence factor investigation and judgment module, and the fifth step is carried out;
step four, performing coordination analysis on the agricultural monitoring area by an area coordination analysis module to generate a coordination unqualified signal or a coordination qualified signal and send the coordination unqualified signal or the coordination qualified signal to an agricultural monitoring and early warning platform;
and fifthly, the influence factor investigation and judgment module performs factor relevance analysis on the unqualified monitoring subareas to generate strong correlation signals or weak correlation signals and sends the strong correlation signals or the weak correlation signals to the agricultural monitoring and early warning platform.
Furthermore, the invention also provides an agricultural monitoring and early warning system based on a mobile terminal, which comprises an agricultural monitoring and early warning platform, a data storage module, an agricultural monitoring partition module, a crop growth situation judgment module, a region coordination analysis module and an influence factor investigation judgment module, wherein the agricultural monitoring and early warning platform is in communication connection with the data storage module, the agricultural monitoring partition module, the crop growth situation judgment module, the region coordination analysis module and the influence factor investigation judgment module, and is in communication connection with the mobile terminal of a corresponding manager; the agricultural monitoring partition module is used for collecting an agricultural monitoring area, dividing the agricultural monitoring area into a plurality of monitoring sub-areas, marking the monitoring sub-areas as u, u = {1,2, \8230;, m }, wherein m represents the number of the monitoring sub-areas and is a positive integer larger than 1, and sending the monitoring sub-areas u to an agricultural monitoring and early warning platform;
the crop growth situation judging module is used for carrying out crop growth situation analysis on the monitoring sub-region u, marking the monitoring sub-region u as a qualified growth sub-region or an unqualified growth sub-region through the crop growth situation analysis, and sending the qualified growth sub-region and the unqualified growth sub-region to the agricultural monitoring and early warning platform; if the unqualified growth subareas do not exist, the agricultural monitoring and early warning platform generates a region coordination analysis signal and sends the region coordination analysis signal to a region coordination analysis module; if the unqualified growth subareas exist, the agricultural monitoring and early warning platform generates a growth situation early warning signal and sends the growth situation early warning signal to the corresponding mobile terminal, and generates an influence factor analysis signal and sends the influence factor analysis signal to the influence factor checking and judging module;
the method comprises the steps that a region coordination analysis module carries out coordination analysis on an agricultural monitoring region after receiving a region coordination analysis signal, generates a coordination unqualified signal or a coordination qualified signal through the coordination analysis, sends the coordination unqualified signal or the coordination qualified signal to an agricultural monitoring and early warning platform, generates a coordination early warning signal after receiving the coordination unqualified signal, and sends the coordination early warning signal to a corresponding mobile terminal;
the influence factor troubleshooting and judging module is used for analyzing the factor relevance of the unqualified monitoring subareas after receiving the influence factor analysis signals, generating strong correlation signals or weak correlation signals through the factor relevance analysis, sending the weak correlation signals or the strong correlation signals to the agricultural monitoring and early warning platform, and the agricultural monitoring and early warning platform is used for generating management and early warning signals after receiving the strong correlation signals and sending the management and early warning signals to the corresponding mobile terminals.
Further, the crop growth situation analysis process of the crop growth situation judgment module is as follows:
setting an agricultural monitoring period Q, wherein Q represents the number of agricultural monitoring days and n is a positive integer greater than 7, and marking the starting monitoring time and the ending monitoring time of the agricultural monitoring period Q as a monitoring initial time point and a monitoring ending time point respectively; acquiring height values of all crops in a monitoring sub-region u at an initial monitoring time point, and performing mean value calculation on the height values of all the crops in the monitoring sub-region u at the initial monitoring time point to acquire initial height data of the monitoring sub-region u; acquiring height values of all crops in a monitoring sub-region u at the monitoring ending time point, and carrying out mean value calculation on the height values of all the crops in the monitoring sub-region u at the monitoring ending time point to acquire real-time height data of the monitoring sub-region u;
calculating a difference value between the real-time height data and the initial height data of the monitoring sub-region u to obtain periodic growth data of the monitoring sub-region u in the agricultural monitoring period Q; and performing numerical calculation on the real-time height data and the periodic growth data of the monitoring sub-region u to obtain a growth situation coefficient TSu, and judging the monitoring sub-region u as a qualified growth sub-region or an unqualified growth sub-region through comparative analysis.
Further, the specific process of determining the monitoring sub-region u as a qualified growth sub-region or an unqualified growth sub-region through comparative analysis is as follows:
and calling a preset generation situation coefficient threshold value through a data storage module, comparing the growth situation coefficient TSu of the monitoring sub-region u with the preset growth situation coefficient threshold value, if the growth situation coefficient TSu is larger than or equal to the preset growth situation coefficient threshold value, judging that the growth situation of the crops in the corresponding monitoring sub-region u is qualified and marking the crops as qualified growth sub-regions, and if the growth situation coefficient TSu is smaller than the preset growth situation coefficient threshold value, judging that the growth situation of the crops in the corresponding monitoring sub-region u is unqualified and marking the crops as unqualified growth sub-regions.
Further, the coordination analysis process of the region coordination analysis module is specifically as follows:
acquiring growth situation coefficients TSu of the monitored sub-regions u, establishing a coordination judgment set { TS1, TS2, \8230;, TSm } based on the growth situation coefficients of all the monitored sub-regions u, and performing variance calculation on the coordination judgment set to acquire a region coordination coefficient XT; calling a preset zone coordination coefficient threshold value through a data storage module, and carrying out numerical comparison on a zone coordination coefficient XT and the preset zone coordination coefficient threshold value;
and if the regional coordination coefficient XT is larger than or equal to the preset regional coordination coefficient threshold, judging that the growth situation difference of crops in the agricultural monitoring region is large and generating a coordination unqualified signal, and if the regional coordination coefficient XT is smaller than the preset regional coordination coefficient threshold, judging that the growth situation difference of the crops in the agricultural monitoring region is small and generating a coordination qualified signal.
Further, the process of analyzing the relevance of the factors of the influencing factor checking and judging module is as follows:
performing ring difference analysis on the external growing environment of crops in the unqualified growing sub-area to obtain a ring difference coefficient HYu of the unqualified growing sub-area in the agricultural monitoring period Q corresponding to a monitoring day; soil quality analysis is carried out on the growing soil environment of crops in the unqualified growing sub-area, and the soil heterogeneity coefficient Tyu of the unqualified growing sub-area in the corresponding monitoring day in the agricultural monitoring period Q is obtained;
on the basis of the cyclic difference coefficient HYu and the soil difference coefficient Tyu, marking corresponding monitoring days of corresponding unqualified growth sub-regions as qualified monitoring days or unqualified monitoring days through analysis, acquiring the number of qualified monitoring days and the number of unqualified monitoring days of the unqualified growth sub-regions in a growth monitoring period Q through statistical analysis, and respectively marking the number of qualified monitoring days and the number of unqualified monitoring days as a combined monitoring number HJu and an abnormal monitoring number YJu;
and calculating a ratio of the abnormal monitoring number YJu and the combined monitoring number HJu of the unqualified growth subarea to obtain an influence correlation value GDu of the unqualified growth subarea, calling a preset influence correlation threshold value through a data storage module, comparing the influence correlation value GDu with the preset influence correlation threshold value, generating a strong correlation signal if the influence correlation value GDu is not less than the preset influence correlation threshold value, and generating a weak correlation signal if the influence correlation value GDu is less than the preset influence correlation threshold value.
Further, the specific analysis process for marking the corresponding monitoring day of the corresponding unqualified growth subregion as a qualified monitoring day or an unqualified monitoring day is as follows:
calling a preset ring differential coefficient threshold value and a preset soil differential coefficient threshold value through a data storage module, respectively comparing a ring differential coefficient HYu and a soil differential coefficient Tyu with the preset ring differential coefficient threshold value and the preset soil differential coefficient threshold value, and marking a corresponding monitoring day of a corresponding unqualified growth subregion as a qualified monitoring day if the ring differential coefficient HYu and the soil differential coefficient Tyu are both smaller than the corresponding threshold values;
otherwise, carrying out numerical calculation on the cyclic difference coefficient HYu and the soil difference coefficient Tyu to obtain a daily difference coefficient Tyu, calling a preset daily difference coefficient threshold value through a data storage module, carrying out numerical comparison on the daily difference coefficient Tyu and the preset daily difference coefficient threshold value, if the daily difference coefficient Tyu is not less than the preset daily difference coefficient threshold value, marking the corresponding monitoring day of the corresponding unqualified growth subregion as an unqualified monitoring day, and if the daily difference coefficient Tyu is less than the preset daily difference coefficient threshold value, marking the corresponding monitoring day of the corresponding unqualified growth subregion as a qualified monitoring day.
Further, the specific analysis process of the cycle analysis is as follows:
acquiring growth external environment information of the unqualified growth subarea corresponding to the monitored daily crops in a monitoring period Q, wherein the growth external environment information comprises air temperature, air humidity, carbon dioxide concentration, oxygen concentration and illumination intensity, and calculating the ratio of the carbon dioxide concentration to the oxygen concentration to acquire a carbon-oxygen expression value; the method comprises the following steps of calling a suitable air temperature range, a suitable air humidity range, a suitable illumination intensity range and a suitable carbon-oxygen range through a data storage module, carrying out mean value calculation on the maximum value and the minimum value of the suitable air temperature range to obtain an air temperature standard value, and similarly obtaining an air humidity standard value, an illumination standard value and a carbon-oxygen standard value; and calculating the difference value between the air temperature and the air temperature standard value, taking an absolute value to obtain air temperature data, similarly obtaining air humidity data, illumination data and carbon oxygen data, and carrying out numerical calculation on the air temperature data, the air humidity data, the illumination data and the carbon oxygen data to obtain the cyclic difference coefficient HYu.
Further, the specific analysis process of the soil anomaly analysis is as follows:
acquiring growth soil environment information of the unqualified growth subarea corresponding to the monitored daily crops in the monitoring period Q, wherein the growth soil environment information comprises phosphorus content, nitrogen content, potassium content and soil humidity, and calling a proper phosphorus-containing range, a proper nitrogen-containing range, a proper potassium-containing range and a proper soil humidity range through a data storage module; carrying out mean value calculation on the maximum value and the minimum value of the range suitable for phosphorus content to obtain a phosphorus-containing standard value, similarly obtaining a nitrogen-containing standard value, a potassium-containing standard value and a soil moisture standard value, carrying out difference value calculation on the phosphorus content and the phosphorus-containing standard value, taking an absolute value to obtain phosphorus-containing data, similarly obtaining nitrogen-containing data, potassium-containing data and soil moisture data, and carrying out numerical value calculation on the phosphorus-containing data, the nitrogen-containing data, the potassium-containing data and the soil moisture data to obtain a soil anomaly coefficient Tyu.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the agricultural monitoring system, an agricultural monitoring area is divided into a plurality of monitoring sub-areas through an agricultural monitoring partition module, a crop growth situation judgment module carries out crop growth situation analysis on the monitoring sub-areas and marks the monitoring sub-areas as qualified growth sub-areas or unqualified growth sub-areas, so that the agricultural monitoring system is beneficial to corresponding agricultural managers to know the overall growth conditions of crops in each monitoring sub-area in the agricultural monitoring area, and effective monitoring on each sub-area in the agricultural monitoring area is realized;
2. in the invention, when unqualified growth subregions do not exist, the agricultural monitoring region is subjected to coordination analysis through the region coordination analysis module to generate a coordination unqualified signal or a coordination qualified signal, and the agricultural monitoring and early warning platform generates a coordination early warning signal and sends the coordination early warning signal to the corresponding mobile terminal after receiving the coordination unqualified signal, so that the early warning reminding function is played to enable corresponding agricultural managers to know the difference situation of the growth situation of crops among the monitoring subregions in time;
3. according to the method, the influence factor investigation and judgment module is used for carrying out factor relevance analysis on the unqualified monitoring sub-regions and generating strong correlation signals or weak correlation signals, the agricultural monitoring and early warning platform generates management and early warning signals after receiving the strong correlation signals and sends the management and early warning signals to the corresponding mobile terminals, and the reminding and early warning function is played, so that the external environment and the soil environment of crops in the relevant regions can be adaptively adjusted in the follow-up process, and the regional crop environment control is enhanced.
Drawings
For the understanding of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a system block diagram of a second embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a third embodiment and a fourth embodiment of the present invention;
fig. 4 is a communication block diagram of the agricultural monitoring and early warning platform and the mobile terminal in the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1, the agricultural monitoring and early warning method based on the mobile terminal provided by the invention comprises the following steps:
step one, an agricultural monitoring subarea module collects an agricultural monitoring area, divides the agricultural monitoring area into a plurality of monitoring subareas and sends the monitoring subareas to an agricultural monitoring and early warning platform;
step two, the agricultural monitoring and early warning platform generates a crop growth situation analysis signal and sends the crop growth situation analysis signal to a crop growth situation judgment module, and the crop growth situation judgment marks the monitoring subareas as qualified growth subareas or unqualified growth subareas and sends the qualified growth subareas or unqualified growth subareas to the agricultural monitoring and early warning platform;
if the unqualified growth subareas do not exist, the agricultural monitoring and early warning platform generates a region coordination analysis signal and sends the region coordination analysis signal to a region coordination analysis module, and the fourth step is carried out;
if the unqualified growth subareas exist, the agricultural monitoring and early warning platform generates an influence factor analysis signal and sends the influence factor analysis signal to an influence factor investigation and judgment module, and the fifth step is carried out;
step four, performing coordination analysis on the agricultural monitoring area by an area coordination analysis module to generate a coordination unqualified signal or a coordination qualified signal and send the coordination unqualified signal or the coordination qualified signal to an agricultural monitoring and early warning platform;
and fifthly, the influence factor investigation and judgment module performs factor relevance analysis on the unqualified monitoring subareas to generate strong correlation signals or weak correlation signals and sends the strong correlation signals or the weak correlation signals to the agricultural monitoring and early warning platform.
Example two:
as shown in fig. 2-4, the difference between this embodiment and embodiment 1 is that the present invention provides an agricultural monitoring and early warning system based on a mobile terminal, which includes an agricultural monitoring and early warning platform, a data storage module, an agricultural monitoring partition module, a crop growth situation determination module, a region coordination analysis module and an influence factor investigation determination module, wherein the agricultural monitoring and early warning platform is in communication connection with the data storage module, the agricultural monitoring partition module, the crop growth situation determination module, the region coordination analysis module and the influence factor investigation determination module, and is in communication connection with a mobile terminal of a corresponding administrator;
the agricultural monitoring partition module is used for collecting an agricultural monitoring area, dividing the agricultural monitoring area into a plurality of monitoring sub-areas, marking the monitoring sub-areas as u, u = {1,2, \8230;, m }, wherein m represents the number of the monitoring sub-areas and is a positive integer larger than 1, and sending the monitoring sub-areas u to an agricultural monitoring and early warning platform; the crop growth situation judgment module is used for analyzing the crop growth situation of the monitoring sub-region u, the monitoring sub-region u is marked as a qualified growth sub-region or an unqualified growth sub-region through the crop growth situation analysis, and the crop growth situation analysis process specifically comprises the following steps:
setting an agricultural monitoring period Q, wherein Q represents the number of agricultural monitoring days and n is a positive integer greater than 7, and marking the starting monitoring time and the ending monitoring time of the agricultural monitoring period Q as a monitoring initial time point and a monitoring ending time point respectively; acquiring height values of all crops in a monitoring initial time point monitoring subregion u, carrying out mean value calculation on the height values of all the crops in the monitoring initial time point monitoring subregion u to acquire initial height data CGu of the monitoring subregion u, wherein the initial height data CGu reflects the overall condition of the crops of the corresponding monitoring subregion u at the initial stage of an agricultural monitoring period;
acquiring height values of all crops in a monitoring sub-region u at the monitoring ending time point, carrying out mean value calculation on the height values of all the crops in the monitoring sub-region u at the monitoring ending time point to acquire real-time height data SGu of the monitoring sub-region u, wherein the real-time height data SGu reflects the whole condition of the crops of the corresponding monitoring sub-region u at the final stage of an agricultural monitoring period;
calculating the difference value between the real-time height data SGu of the monitoring sub-region u and the initial height data CGu through a difference value formula Zsu = SGu-CGu to obtain the periodic growth data of the monitoring sub-region u in the agricultural monitoring period Q and marking the periodic growth data as Zsu;
by growth situation analysis formula
Carrying out numerical calculation on real-time height data and periodic growth data of the monitoring sub-region u to obtain a growth situation coefficient TSu; wherein a1 and a2 are preset proportionality coefficients, and a1 is more than a2 and more than 1; the growth situation coefficient TSu reflects the growth situation of the crops in the corresponding monitoring sub-region u in the agricultural monitoring period, and the larger the numerical value of the growth situation coefficient TSu is, the better the overall growth situation of the crops in the corresponding monitoring sub-region u is;
and calling a preset generation situation coefficient threshold value through a data storage module, comparing the growth situation coefficient TSu of the monitoring sub-region u with the preset growth situation coefficient threshold value, if the growth situation coefficient TSu is not less than the preset growth situation coefficient threshold value, judging that the growth situation of the crops in the corresponding monitoring sub-region u is qualified, marking the corresponding monitoring sub-region u as a qualified growth sub-region, and if the growth situation coefficient TSu is less than the preset growth situation coefficient threshold value, judging that the growth situation of the crops in the corresponding monitoring sub-region u is unqualified, and marking the corresponding monitoring sub-region u as an unqualified growth sub-region.
The crop growth situation judgment module sends the qualified growth subareas and the unqualified growth subareas to the agricultural monitoring and early warning platform, so that the agricultural monitoring and early warning platform is beneficial for corresponding agricultural managers to know the overall growth conditions of crops in each monitoring subarea u in the agricultural monitoring area; if the unqualified growth subareas do not exist, the agricultural monitoring and early warning platform generates a region coordination analysis signal and sends the region coordination analysis signal to a region coordination analysis module; if the unqualified growth subareas exist, the agricultural monitoring and early warning platform generates growth situation early warning signals and sends the growth situation early warning signals to the corresponding mobile terminals, so that the agricultural management personnel can know the information of the unqualified monitoring subareas in the agricultural monitoring area in detail, and can be reminded to perform follow-up improvement measures on the relevant areas in time so as to promote the growth of crops, generate influence factor analysis signals and send the influence factor analysis signals to the influence factor investigation and judgment module.
Example three:
as shown in fig. 3, the difference between this embodiment and embodiments 1 and 2 is that the region coordination analysis module performs coordination analysis on the agricultural monitoring region after receiving the region coordination analysis signal, and generates a coordination unqualified signal or a coordination qualified signal through the coordination analysis, and the coordination analysis process specifically includes:
acquiring growth situation coefficients TSu of the monitored sub-regions u, establishing a coordination judgment set { TS1, TS2, \8230;, TSm } based on the growth situation coefficients of all the monitored sub-regions u, and performing variance calculation on the coordination judgment set to acquire a region coordination coefficient XT; the regional coordination coefficient XT reflects the growth deviation condition of crops in each group of monitoring sub-regions u in the agricultural monitoring region in the agricultural monitoring period, the larger the numerical value of the regional coordination coefficient XT is, the more uneven the growth condition of the crops among the monitoring sub-regions u is shown, and the smaller the numerical value of the regional coordination coefficient XT is, the more equal the growth condition of the crops among the monitoring sub-regions u is shown;
calling a preset zone coordination coefficient threshold value through a data storage module, and carrying out numerical comparison on a zone coordination coefficient XT and the preset zone coordination coefficient threshold value; and if the regional coordination coefficient XT is larger than or equal to the preset regional coordination coefficient threshold, judging that the growth situation difference of crops in the agricultural monitoring region is large and generating a coordination unqualified signal, and if the regional coordination coefficient XT is smaller than the preset regional coordination coefficient threshold, judging that the growth situation difference of the crops in the agricultural monitoring region is small and generating a coordination qualified signal.
The region coordination analysis module sends the coordination unqualified signal or the coordination qualified signal to the agricultural monitoring and early warning platform, corresponding agricultural management personnel can clearly know the growth deviation condition of crops among all monitoring sub-regions u, the agricultural monitoring and early warning platform generates a coordination early warning signal after receiving the coordination unqualified signal, the coordination early warning signal is sent to the corresponding mobile terminal, early warning reminding is performed, the corresponding agricultural management personnel can know the growth situation difference condition of the crops among all monitoring sub-regions u in time, the corresponding agricultural management personnel can perform corresponding improvement measures after receiving the coordination early warning signal, and the related region growth situation is prevented from being unqualified subsequently.
Example four:
as shown in fig. 3, the difference between this embodiment and embodiments 1,2, and 3 is that the influence factor investigation and determination module performs factor relevance analysis on the sub-area that is not qualified to monitor after receiving the influence factor analysis signal, and generates a strong relevance signal or a weak relevance signal through the factor relevance analysis, where the factor relevance analysis process specifically includes:
acquiring growth external environment information of the unqualified growth subarea corresponding to the crops on the monitoring day in the monitoring period Q, wherein the growth external environment information comprises air temperature, air humidity, carbon dioxide concentration, oxygen concentration and illumination intensity of the environment where the corresponding crops are located, and calculating the ratio of the carbon dioxide concentration to the oxygen concentration to acquire a carbon-oxygen expression value; the method comprises the following steps of calling a suitable air temperature range, a suitable air humidity range, a suitable illumination intensity range and a suitable carbon-oxygen range through a data storage module, carrying out mean value calculation on the maximum value and the minimum value of the suitable air temperature range to obtain an air temperature standard value, and similarly obtaining an air humidity standard value, an illumination standard value and a carbon-oxygen standard value; calculating the difference between the air temperature and the air temperature standard value, taking an absolute value to obtain air temperature data, and similarly obtaining air humidity data, illumination data and carbon oxygen data;
marking the air temperature data, the air humidity data, the illumination data and the carbon oxygen data as KWs, KSs, GZs and Tys respectively; by analysis of the ring difference
Numerical calculation is carried out on air temperature data KWs, air humidity data KSs, illumination data GZs and carbon oxygen data Tys, and a corresponding monitoring daily cyclic difference coefficient HYu of an unqualified growth sub-region in a monitoring period Q is obtained after numerical calculation; wherein b1, b2, b3 and b4 are preset proportionality coefficients, the values of b1, b2, b3 and b4 are all larger than zero, and b1 is larger than b3 and larger than b4 is larger than b2;
the method comprises the steps that a cyclic difference coefficient HYu of an unqualified growth subregion corresponding to a monitoring day in an agricultural monitoring period Q is obtained through cyclic difference analysis of the external growth environment of crops in the unqualified growth subregion, the numerical value of the cyclic difference coefficient HYu is in a proportional relation with air temperature data KWs, air humidity data KSs, illumination data GZs and carbon oxygen data Tys, the larger the numerical value of the cyclic difference coefficient HYu is, the larger the deviation degree of the external environment of the unqualified growth subregion corresponding to the monitoring day in the monitoring period Q compared with a preset suitable crop growth environment is shown, the worse the external environment of the unqualified growth subregion corresponding to the monitoring day in the monitoring period Q is shown, and on the contrary, the better the external environment of the unqualified growth subregion corresponding to the monitoring day in the monitoring period Q is shown;
acquiring growth soil environment information of the unqualified growth subarea corresponding to the monitored daily crops in the monitoring period Q, wherein the growth soil environment information comprises phosphorus content, nitrogen content, potassium content and soil humidity, and calling a proper phosphorus-containing range, a proper nitrogen-containing range, a proper potassium-containing range and a proper soil humidity range through a data storage module; calculating the mean value of the maximum value and the minimum value of the suitable phosphorus-containing range to obtain a phosphorus-containing standard value, similarly obtaining a nitrogen-containing standard value, a potassium-containing standard value and a soil moisture standard value, calculating the difference value of the phosphorus content and the phosphorus-containing standard value, taking an absolute value to obtain phosphorus-containing data, and similarly obtaining nitrogen-containing data, potassium-containing data and soil moisture data;
respectively marking phosphorus-containing data, nitrogen-containing data, potassium-containing data and soil moisture data as LSj, DSj, JSj and TSs, and analyzing soil texture by using soil texture analysis formula
Carrying out numerical calculation on phosphorus-containing data LSj, nitrogen-containing data DSj, potassium-containing data JSj and soil moisture data TSs, and obtaining a soil heterogeneity coefficient Tyu after numerical calculation; wherein c1, c2, c3 and c4 are preset proportionality coefficients, and the values of c1, c2, c3 and c4 are all larger than 1;
soil property analysis is carried out on the growing soil environment of crops in the unqualified growing sub-area to obtain the soil heterogeneity coefficient Tyu of the unqualified growing sub-area in the agricultural monitoring period Q corresponding to the monitoring day; the numerical value of the soil difference coefficient Tyu is in a direct proportion relation with the phosphorus-containing data LSj, the nitrogen-containing data DSj, the potassium-containing data JSj and the soil-moisture data TSs, the larger the numerical value of the soil difference coefficient Tyu is, the larger the deviation degree of the soil environment of the corresponding unqualified growth sub-region in the monitoring period Q corresponding to the monitoring day is compared with the preset suitable crop soil environment is, the worse the soil environment of the corresponding unqualified growth sub-region in the monitoring period Q corresponding to the monitoring day is, and on the contrary, the better the soil environment of the corresponding unqualified growth sub-region in the monitoring period Q corresponding to the monitoring day is compared;
calling a preset ring differential coefficient threshold value and a preset soil differential coefficient threshold value through a data storage module, respectively comparing a ring differential coefficient HYu and a soil differential coefficient Tyu with the preset ring differential coefficient threshold value and the preset soil differential coefficient threshold value, and marking a corresponding monitoring day of a corresponding unqualified growth subregion as a qualified monitoring day if the ring differential coefficient HYu and the soil differential coefficient Tyu are both smaller than the corresponding threshold values;
otherwise, carrying out numerical calculation on the cyclic heterogeneity coefficient HYu and the soil heterogeneity coefficient Tyu through a daily heterogeneity analysis formula Tyu = ek1 × HYu + ek2 × Tyu to obtain a daily heterogeneity coefficient Tyu, wherein ek1 and ek2 are preset weight coefficients, values of ek1 and ek2 are both greater than zero, and ek1 is smaller than ek2; the daily variation coefficient Tyu reflects the integral condition of the corresponding unqualified growth subarea corresponding to the external environment and the soil environment of the monitoring day in the monitoring period Q, and the smaller the numerical value of the daily variation coefficient Tyu is, the better the integral condition is shown;
calling a preset daily variation coefficient threshold value through a data storage module, comparing the daily variation coefficient Tyu with the preset daily variation coefficient threshold value, marking the corresponding monitoring day of the corresponding unqualified growth subregion as an unqualified monitoring day if the daily variation coefficient Tyu is not less than the preset daily variation coefficient threshold value, and marking the corresponding monitoring day of the corresponding unqualified growth subregion as a qualified monitoring day if the daily variation coefficient Tyu is less than the preset daily variation coefficient threshold value; acquiring the qualified monitoring day number and the unqualified monitoring day number of an unqualified growth subregion in a growth monitoring period Q through statistical analysis, and respectively marking the qualified monitoring day number and the unqualified monitoring day number as a combined supervision number HJu and an abnormal supervision number YJu;
the method comprises the steps of carrying out ratio calculation on an abnormal monitored number YJu and a combined monitored number HJu of an unqualified growth subregion through a ratio formula GDu = YJu/(HJu + 0.857), obtaining an influence associated value GDu of the unqualified growth subregion after the ratio calculation, comparing the influence associated value GDu with a preset influence associated threshold value if the numerical value of the influence associated value GDu is larger, indicating that the probability that the growth situation of crops in the unqualified growth subregion is unqualified due to the soil environment and the environment where the crops are located is higher, generating a strong associated signal if the influence associated value GDu is larger than or equal to the preset influence associated threshold value, generating a weak associated signal if the influence associated value GDu is smaller than the preset influence associated threshold value, realizing the inspection of the factors of the growth situation of the crops in a relevant region, and being beneficial to carrying out corresponding subsequent regulation and control.
The influence factor investigation and judgment module sends the weak correlation signal or the strong correlation signal to the agricultural monitoring and early warning platform, which is helpful for corresponding agricultural managers to know the influence condition of the soil environment and the environment where crops are located on the growth situation of the crops in the unqualified growth subarea, the agricultural monitoring and early warning platform generates a management and early warning signal after receiving the strong correlation signal and sends the management and early warning signal to the corresponding mobile terminal, so that the warning function is reminded, and after receiving the management and early warning signal, the corresponding agricultural managers can perform adaptive regulation on the external environment and the soil environment of the crops in the relevant subarea and strengthen the subarea crop environment control.
The formulas are all obtained by collecting a large amount of data and performing software simulation, and the formulas are close to real values, all the formulas are obtained by removing dimensions and taking numerical values for calculation, and coefficients in the formulas are set by a person skilled in the art according to actual conditions.
The working principle of the invention is as follows: when the agricultural monitoring subarea module is used, the agricultural monitoring area is divided into a plurality of monitoring subareas u, the crop growth situation judging module analyzes the crop growth situation of the monitoring subareas u and marks the monitoring subareas u as qualified growth subareas or unqualified growth subareas, and the agricultural monitoring subareas u module is beneficial for corresponding agricultural managers to know the overall growth condition of crops in each monitoring subarea u in the agricultural monitoring area; if unqualified growth sub-regions do not exist, the region coordination analysis module carries out coordination analysis on the agricultural monitoring region and generates a coordination unqualified signal or a coordination qualified signal, the agricultural monitoring and early warning platform generates a coordination early warning signal after receiving the coordination unqualified signal and sends the coordination early warning signal to the corresponding mobile terminal, and early warning reminding is carried out so that corresponding agricultural managers can know the difference situation of the growth situation of crops among the monitoring sub-regions u in time; if the unqualified growth subareas exist, the influence factor investigation and judgment module carries out factor relevance analysis on the unqualified monitoring subareas to generate a strong relevance signal or a weak relevance signal, the agricultural monitoring and early warning platform generates a management early warning signal after receiving the strong relevance signal and sends the management early warning signal to the corresponding mobile terminal, the warning and early warning function is played, the adaptability adjustment is carried out on the external environment and the soil environment of crops in the relevant area in the follow-up process, and the environmental management and control of the crops in the area are enhanced.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A mobile terminal-based agricultural monitoring and early warning method is characterized by comprising the following steps:
step one, an agricultural monitoring subarea module collects an agricultural monitoring area, divides the agricultural monitoring area into a plurality of monitoring subareas and sends the monitoring subareas to an agricultural monitoring early warning platform;
secondly, the agricultural monitoring and early warning platform generates a crop growth situation analysis signal and sends the crop growth situation analysis signal to a crop growth situation judgment module, and the crop growth situation judgment marks the monitoring subareas as qualified growth subareas or unqualified growth subareas and sends the qualified growth subareas or unqualified growth subareas to the agricultural monitoring and early warning platform;
if the unqualified growth subareas do not exist, the agricultural monitoring and early warning platform generates a region coordination analysis signal and sends the region coordination analysis signal to a region coordination analysis module, and the fourth step is carried out;
if the unqualified growth subareas exist, the agricultural monitoring and early warning platform generates an influence factor analysis signal and sends the influence factor analysis signal to an influence factor investigation and judgment module, and the fifth step is carried out;
step four, performing coordination analysis on the agricultural monitoring area by an area coordination analysis module to generate a coordination unqualified signal or a coordination qualified signal and sending the coordination unqualified signal or the coordination qualified signal to an agricultural monitoring and early warning platform;
and fifthly, the influence factor investigation and judgment module performs factor relevance analysis on the unqualified monitoring subareas to generate strong correlation signals or weak correlation signals and sends the strong correlation signals or the weak correlation signals to the agricultural monitoring and early warning platform.
2. An agricultural monitoring and early warning system based on a mobile terminal is characterized by comprising an agricultural monitoring and early warning platform, a data storage module, an agricultural monitoring partition module, a crop growth situation judgment module, a region coordination analysis module and an influence factor investigation judgment module, wherein the agricultural monitoring and early warning platform is in communication connection with the data storage module, the agricultural monitoring partition module, the crop growth situation judgment module, the region coordination analysis module and the influence factor investigation judgment module, and is in communication connection with the mobile terminal of a corresponding manager; the agricultural monitoring partition module is used for collecting an agricultural monitoring area, dividing the agricultural monitoring area into a plurality of monitoring sub-areas, marking the monitoring sub-areas as u, u = {1,2, \8230;, m }, wherein m represents the number of the monitoring sub-areas and is a positive integer larger than 1, and sending the monitoring sub-areas u to an agricultural monitoring and early warning platform;
the crop growth situation judging module is used for carrying out crop growth situation analysis on the monitoring sub-region u, marking the monitoring sub-region u as a qualified growth sub-region or an unqualified growth sub-region through the crop growth situation analysis, and sending the qualified growth sub-region and the unqualified growth sub-region to the agricultural monitoring and early warning platform; if unqualified growth subregions do not exist, the agricultural monitoring and early warning platform generates a region coordination analysis signal and sends the region coordination analysis signal to a region coordination analysis module; if unqualified growth subareas exist, the agricultural monitoring and early warning platform generates a growth situation early warning signal and sends the growth situation early warning signal to a corresponding mobile terminal, and generates an influence factor analysis signal and sends the influence factor analysis signal to an influence factor checking and judging module;
the method comprises the steps that a region coordination analysis module carries out coordination analysis on an agricultural monitoring region after receiving a region coordination analysis signal, generates a coordination unqualified signal or a coordination qualified signal through the coordination analysis, sends the coordination unqualified signal or the coordination qualified signal to an agricultural monitoring and early warning platform, generates a coordination early warning signal after receiving the coordination unqualified signal, and sends the coordination early warning signal to a corresponding mobile terminal;
the influence factor troubleshooting and judging module is used for analyzing the factor relevance of the unqualified monitoring subareas after receiving the influence factor analysis signals, generating strong correlation signals or weak correlation signals through the factor relevance analysis, sending the weak correlation signals or the strong correlation signals to the agricultural monitoring and early warning platform, and the agricultural monitoring and early warning platform is used for generating management and early warning signals after receiving the strong correlation signals and sending the management and early warning signals to the corresponding mobile terminals.
3. The agricultural monitoring and early warning system based on the mobile terminal as claimed in claim 2, wherein the crop growth situation analysis process of the crop growth situation judgment module is as follows:
setting an agricultural monitoring period Q, wherein Q represents the number of agricultural monitoring days and n is a positive integer greater than 7, and marking the starting monitoring time and the ending monitoring time of the agricultural monitoring period Q as an initial monitoring time point and an ending monitoring time point respectively; acquiring height values of all crops in a monitoring sub-region u at an initial monitoring time point, and performing mean value calculation on the height values of all the crops in the monitoring sub-region u at the initial monitoring time point to acquire initial height data of the monitoring sub-region u; acquiring height values of all crops in a monitoring sub-region u at the monitoring ending time point, and carrying out mean value calculation on the height values of all the crops in the monitoring sub-region u at the monitoring ending time point to acquire real-time height data of the monitoring sub-region u;
calculating a difference value between the real-time height data and the initial height data of the monitoring sub-region u to obtain periodic growth data of the monitoring sub-region u in the agricultural monitoring period Q; and performing numerical calculation on the real-time height data and the periodic growth data of the monitoring sub-region u to obtain a growth situation coefficient TSu, and judging the monitoring sub-region u as a qualified growth sub-region or an unqualified growth sub-region through comparative analysis.
4. The agricultural monitoring and early warning system based on the mobile terminal according to claim 3, wherein the specific process of judging the monitoring subregion u as a qualified growth subregion or an unqualified growth subregion through comparative analysis is as follows:
and calling a preset generation situation coefficient threshold value through a data storage module, comparing the growth situation coefficient TSu of the monitoring sub-region u with the preset growth situation coefficient threshold value, if the growth situation coefficient TSu is not less than the preset growth situation coefficient threshold value, judging that the growth situation of the crops in the corresponding monitoring sub-region u is qualified and marking as a qualified growth sub-region, and if the growth situation coefficient TSu is less than the preset growth situation coefficient threshold value, judging that the growth situation of the crops in the corresponding monitoring sub-region u is unqualified and marking as an unqualified growth sub-region.
5. The agricultural monitoring and early warning system based on the mobile terminal as claimed in claim 2, wherein the coordination analysis process of the region coordination analysis module is as follows:
acquiring growth situation coefficients TSu of the monitored sub-regions u, establishing a coordination judgment set { TS1, TS2, \8230;, TSm } based on the growth situation coefficients of all the monitored sub-regions u, and performing variance calculation on the coordination judgment set to acquire a region coordination coefficient XT; and calling a preset zone coordination coefficient threshold value through a data storage module, and carrying out numerical comparison on the zone coordination coefficient XT and the preset zone coordination coefficient threshold value to generate a nonconforming coordination signal or a qualified coordination signal.
6. The agricultural monitoring and early warning system based on the mobile terminal as claimed in claim 5, wherein the specific process of comparing the regional coordination coefficient XT with the preset regional coordination coefficient threshold value and generating the unqualified coordination signal or the qualified coordination signal is as follows:
and if the regional coordination coefficient XT is larger than or equal to the preset regional coordination coefficient threshold, judging that the growth situation difference of crops in the agricultural monitoring region is large and generating a coordination unqualified signal, and if the regional coordination coefficient XT is smaller than the preset regional coordination coefficient threshold, judging that the growth situation difference of the crops in the agricultural monitoring region is small and generating a coordination qualified signal.
7. The agricultural monitoring and early warning system based on the mobile terminal as claimed in claim 2, wherein the factor relevance analysis process of the influence factor investigation judgment module is as follows:
performing cyclic analysis on the growth external environment of crops in the unqualified growth sub-area to obtain a cyclic difference coefficient HYu of the unqualified growth sub-area in a corresponding monitoring day in an agricultural monitoring period Q; soil quality analysis is carried out on the growing soil environment of crops in the unqualified growing sub-area, and the soil heterogeneity coefficient Tyu of the unqualified growing sub-area in the corresponding monitoring day in the agricultural monitoring period Q is obtained;
on the basis of the cyclic difference coefficient HYu and the soil difference coefficient Tyu, marking corresponding monitoring days of corresponding unqualified growth sub-regions as qualified monitoring days or unqualified monitoring days through analysis, acquiring the number of qualified monitoring days and the number of unqualified monitoring days of the unqualified growth sub-regions in a growth monitoring period Q through statistical analysis, and respectively marking the number of qualified monitoring days and the number of unqualified monitoring days as a combined monitoring number HJu and an abnormal monitoring number YJu;
and calculating a ratio of the abnormal monitoring number YJu and the combined monitoring number HJu of the unqualified growth subarea to obtain an influence correlation value GDu of the unqualified growth subarea, calling a preset influence correlation threshold value through a data storage module, comparing the influence correlation value GDu with the preset influence correlation threshold value, generating a strong correlation signal if the influence correlation value GDu is not less than the preset influence correlation threshold value, and generating a weak correlation signal if the influence correlation value GDu is less than the preset influence correlation threshold value.
8. The agricultural monitoring and early warning system based on the mobile terminal as claimed in claim 7, wherein the specific analysis process for marking the corresponding monitoring day of the corresponding unqualified growth sub-area as a qualified monitoring day or an unqualified monitoring day is as follows:
calling a preset ring difference coefficient threshold value and a preset soil difference coefficient threshold value through a data storage module, respectively comparing a ring difference coefficient HYu and a soil difference coefficient Tyu with the preset ring difference coefficient threshold value and the preset soil difference coefficient threshold value, and marking a corresponding monitoring day of a corresponding unqualified growth subregion as a qualified monitoring day if the ring difference coefficient HYu and the soil difference coefficient Tyu are smaller than the corresponding threshold values;
otherwise, carrying out numerical calculation on the cyclic difference coefficient HYu and the soil difference coefficient Tyu to obtain a daily difference coefficient Tyu, calling a preset daily difference coefficient threshold value through a data storage module, carrying out numerical comparison on the daily difference coefficient Tyu and the preset daily difference coefficient threshold value, if the daily difference coefficient Tyu is not less than the preset daily difference coefficient threshold value, marking the corresponding monitoring day of the corresponding unqualified growth subregion as an unqualified monitoring day, and if the daily difference coefficient Tyu is less than the preset daily difference coefficient threshold value, marking the corresponding monitoring day of the corresponding unqualified growth subregion as a qualified monitoring day.
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