CN115953262A - Insect disease data management system and method based on moth repelling survey - Google Patents
Insect disease data management system and method based on moth repelling survey Download PDFInfo
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Abstract
The invention relates to the technical field of agricultural pest data management, in particular to a pest data management system and method based on moth repelling survey, which comprises the following steps: the field investigation data acquisition module acquires moth repelling data, the acquired data checking module checks the moth repelling data in the field, the checked data is transmitted to the database, the checked data is stored in the database, relevant parameters of a generation are configured through the generation division configuration module, a generation starting date and a generation ending date are calculated through the generation division calculation module to obtain a generation division result, a forecast staff is prompted through the generation result prompting module when a new generation division result appears, the forecast staff analyzes and predicts plant diseases and insect pests according to the new generation division result, and the precision of the traditional unified generation division result is improved.
Description
Technical Field
The invention relates to the technical field of agricultural pest and disease data management, in particular to a pest and disease data management system and method based on moth repelling survey.
Background
The rice leaf rollers are important two-transition pests of rice in China, the outbreak in the field tends to rise in the year, the generation division of the rice leaf rollers is an important basis for monitoring the pests, and the traditional division mode is that the rice leaf rollers in the country are uniformly divided into eight generations according to dates;
however, the conventional partitioning method has certain problems: because the rice leaf roller is a migratory insect pest, the migratory flight activity of the rice leaf roller is closely related to weather and foodstuff conditions, the migratory flight time of the rice leaf roller is different every year, and generation division differences caused by different migration time exist for different regions, so that the rice leaf roller is subjected to generation division by utilizing a traditional division mode, the obtained division result is low in accuracy, and the accuracy of monitoring and predicting the insect pest is further influenced; in addition, moth repelling is an important monitoring mode for monitoring the rice leaf rollers, and is particularly characterized in that the moths are counted by visual observation by holding the long bamboos along the middle-upper part of the ridge of the rice leaf rollers and slowly fluctuating against the wind, the moth number obtained by manual visual observation is possibly low in accuracy, the moth number also affects generation division results, and the moth number cannot be analyzed and checked through a big data technology in the prior art so as to improve the accuracy of the generation division results.
Therefore, a system and a method for pest and disease damage data management based on moth repelling survey are needed to solve the above problems.
Disclosure of Invention
The invention aims to provide a pest and disease damage data management system and method based on moth repelling survey, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a pest data management system based on a moth repellent survey, the system comprising: the system comprises a field survey data acquisition module, a collected data checking module, a database, a generation division configuration module, a generation division calculation module and a generation result prompting module;
the output end of the field survey data acquisition module is connected with the input ends of the acquired data checking module and the database, the output end of the database is connected with the input ends of the generation division calculation module and the generation result prompting module, the output end of the generation division configuration module is connected with the input end of the generation division calculation module, and the output end of the generation division calculation module is connected with the input end of the generation result prompting module;
acquiring moth repelling data in the field through the field investigation data acquisition module;
establishing a data checking model through the collected data checking module, checking the field moth dispelling data, and transmitting the checked data to the database;
storing the checked moth dispelling data through the database;
configuring relevant parameters of generations through the generation division configuration module;
calculating a generation starting date and a generation ending date through the generation division calculating module to obtain a generation division result;
comparing the historical division result with the current division result through the generation result prompting module, prompting a forecasting worker when a new generation division result appears, and carrying out pest and disease damage analysis and prediction by the forecasting worker according to the new generation division result.
Further, the field survey data acquisition module comprises a geographic information acquisition unit, a time acquisition unit and a moth-repelling data acquisition unit;
the output end of the geographic information acquisition unit is connected with the input end of the database;
the geographic information acquisition unit is used for acquiring the location information of the moth in the region and county;
the time acquisition unit is used for acquiring the time data of moth repelling;
catch up with moth data acquisition unit and be used for gathering the quantity and the area information of catching up with the moth, the quantity and the area information of catching up with the moth are typeeed by the investigator by hand, and catch up with moth time and catch up with moth quantity information transmission who gathers in the past and arrive gather data and check the module.
Furthermore, the collected data checking module comprises a checking model establishing unit, a data checking reminding unit and a checking data transmission unit;
the input end of the checking model establishing unit is connected with the output ends of the time acquisition unit and the moth-repelling data acquisition unit, the output end of the checking model establishing unit is connected with the input end of the data checking and reminding unit, the output end of the data checking and reminding unit is connected with the input end of the checking data transmission unit, and the output end of the checking data transmission unit is connected with the input end of the database;
the checking model establishing unit is used for establishing a moth-repelling data checking model;
the data checking and reminding unit is used for substituting the current moth repelling time into the moth repelling data checking model, predicting the number of moths corresponding to the current moth repelling time, comparing the predicted number of the moths with the current actual number of the moths to obtain a number difference value, setting a deviation threshold value, comparing the number difference value with the deviation threshold value, and reminding to check whether the current actual number of the moths is correct or not when the number difference value exceeds the deviation threshold value;
the checking data transmission unit is used for transmitting the checked moth repelling quantity to the database.
Further, the generation division configuration module comprises a theoretical generation configuration unit and an attention generation configuration unit;
the output end of the concerned generation configuration unit is connected with the input end of the concerned generation configuration unit, and the output end of the concerned generation configuration unit is connected with the input end of the generation division calculation module;
the theoretical generation configuration unit is used for configuring theoretical generation as nationwide uniform generation division data by default;
the concerned generation configuration unit is used for configuring concerned generations into generation division data of different areas, the cnaphalocrocis medinalis is migratory pests, the occurrence time and the generation times of different areas are different, and unnecessary concerned generations exist in different areas.
Further, the generation result prompting module comprises a generation result acquiring unit, a generation result comparing unit and a generation result prompting unit;
the input end of the generation result acquiring unit is connected with the generation division calculating module and the output end of the database, the output end of the generation result acquiring unit is connected with the input end of the generation result comparing unit, and the output end of the generation result comparing unit is connected with the input end of the generation result reminding unit;
the generation result acquisition unit is used for acquiring a last generation division result and moth dispelling data of field investigation;
the generation result comparison unit is used for comparing the current generation division result with the last generation division result;
the generation result reminding unit is used for reminding a testing and reporting person when a new generation division result appears, sending the new generation division result to the testing and reporting person, carrying out pest and disease damage prediction by the testing and reporting person according to the new generation division result, obtaining specific starting date and ending date of each generation by adopting a generation division algorithm, enabling the obtained division dates to be basically on moth-peak days, being more in line with the local actual situation than unified national generation division, being beneficial to improving the precision of the traditional unified generation division result by comparing with the last generation division result, taking the starting time and the ending time of the generation as important basis for prediction of the rice leaf rollers, and improving the precision of the generation division result to a certain extent.
A pest and disease data management method based on moth repelling survey comprises the following steps:
s1: acquiring moth dispelling data of an area, establishing a data checking model, and checking the acquired moth dispelling data;
s2: displaying the checked moth-repelling data as a curve according to the date, performing field weighting processing on the moth-repelling curve, and finding out all peak periods to form a peak period sequence;
s3: taking the moth catching start date or the theoretical 1 st generation start time in the configuration as the 1 st generation start date;
s4: finding the most suitable peak period according to the theoretical starting date and the peak period sequence, and determining the actual generation starting date;
s5: and temporarily setting the finishing time of the last theoretical generation in the configuration or the time of the last appearance of the moth repelling data as the finishing date of the last generation to obtain generation division results and carry out pest and disease damage prediction.
Further, in step S1: acquiring migration time of moth in one year in the past of a random area as T, acquiring moth quantity as A on the current date of migration, acquiring a set of interval time between migration time of moth in m years in the next corresponding area and T as T = { T1, T2.. Multidot.tm }, acquiring a set of moth quantity as a = { a1, a 2.. Multidot.m }, which is acquired on the current date of migration and is different from A, and establishing a data comparison model am: y = C1x + C2, where C1 represents a weight parameter and C2 represents an offset, and the final data verification model is obtained by solving C1 and C2, and C1 and C2 are calculated respectively according to the following formulas:
C1=[(∑ m i=1 (ti) 2 )(∑ m i=1 ai)-(∑ m i=1 ti)(∑ m i=1 (ti*ai))]/[m(∑ m i=1 (ti) 2 )-(∑ m i= 1 ti) 2 ]；
C2=[m(∑ m i=1 (ti*ai))- (∑ m i=1 ti) (∑ m i=1 ai)]/[m(∑ m i=1 (ti) 2 )-(∑ m i=1 ti) 2 ]；
wherein ti represents the migration time of the moth in one random year in m years and the interval time of T, ai represents the moth quantity which is acquired on the current date corresponding to the migration time and is different from A, and the interval time between the current moth migration time and T is T ’ The currently collected moth volume migrating to the current day is B, and t is ’ The difference between the estimated moth mass on the day of migration and A obtained by substituting the data check model is b = C1%t ’ + C2, setting the moth quantity deviation threshold value as M, and comparing | B-A | B | with M: if | | | B-A | -B | | non-woven phosphor>M, indicating that the difference between the currently collected moth quantity and the predicted moth quantity is large, and reminding to check the currently collected moth quantity; if the | | B-A | -B |, is less than or equal to M, the difference between the currently collected moth quantity and the predicted moth quantity is small, no reminding is made, and the checked moth dispelling datase:Sub>A is obtained: the date sequence for acquiring the current collected moth amount is X = { X 1 ，x 2 ，...，x n And the moth mass sequence of n days is Y = { Y = 1 ，y 2 ，...，y n In which y 1 The moth quantity of the current day of migration after checking is shown, because the moth quantity data are obtained by manual visual inspection, the collected moth quantity has great influence on generation division, the accuracy of the data obtained by manual visual inspection is not high, the moth quantity is influenced to a certain extent by the migration time, the moth quantity data of different migration times are analyzed through historical data, the moth quantity corresponding to the current migration time is predicted by utilizing a linear regression model, the moth quantity is compared with the moth quantity obtained by current actual manual visual inspection, if the difference is too large, the problem that the moth quantity obtained by current manual visual inspection is not accurate probably exists, the moth quantity checking is favorably reminded in time, and the accuracy of generation division results can be effectively improved by using more accurate moth quantity.
Further, in step S2: judging the moth mass peak stage: setting the peak period to p, if y i >y i-1 And y is i >y i+1 Then y is judged i Corresponding date x i Is the peak period, i.e. p = x i Wherein, y i 、y i-1 And y i+1 Respectively representing the moth amount of the i th, the i-1 th and the i +1 th dates according to a formula delta = | y i -y i-1 |+| y i -y i+1 Obtaining the variation delta of the peak period P, showing the moth repelling data as a curve according to date, performing a linear neighborhood weighted average method on the moth repelling curve, taking the neighborhood as E, wherein the linear neighborhood weighted average method can eliminate accidental variation to enable the curve to be smoother, further reducing deviation caused by manual moth amount investigation, taking out all the peak periods, adding the peak periods into the sequence P, and performing descending order arrangement on the P according to the peak period variation to form the peak period sequence P.
Further, in step S3: setting n generations in the concerned generation configuration, wherein the 1 st generation is the 1 st generation of the concerned generation, the starting date of the moth catching or the theoretical 1 st generation starting time in the configuration is taken as the 1 st generation starting date I, and the j generation starting date II-1 is taken as the ending date;
in step S4: let the j generation start date be II, and let the deviation between the j-1 generation actual start date and the theoretical start date be D j-1 The beginning date of the jth agent theory is S j Let d = S j +D j-1 Looking for the peak period P in F days forward and backward with d as the center point, wherein P is in the peak period sequence P, and the range of P is [ d-F, d + F]If p is found, making II = p; if no p is found, searching the latest peak period p with the interval less than d-F or greater than d + F ’ Taking the distance p between the edge dates d-F or d + F ’ The more recent date is taken as II if p is not found ’ If II = D, update D j =S j II, j =2,3, \8230, n-1, wherein II denotes the start date of all intermediate generations except the 1 st and last 1 st generation;
in step S5: setting the ending time of the last theoretical generation or the last occurrence time of moth repelling data in the configuration as III, wherein the III represents the ending date of the last generation to obtain the current generation division result, comparing the current generation division result with the last generation division result, reminding a testing and reporting person when a new generation division result occurs, sending the new generation division result to the testing and reporting person, carrying out pest and disease damage prediction by the testing and reporting person according to the new generation division result, and analyzing and predicting the pest and disease damage according to self experience after the testing and reporting person receives the new generation division result.
Compared with the prior art, the invention has the following beneficial effects:
the specific starting date and ending date of each generation are obtained by adopting a generation division algorithm, the obtained division dates are basically in the moth peak day, the division dates are more in line with the local actual situation than the unified national generation division, and the division dates are compared with the last generation division result, so that the accuracy of the traditional unified generation division result is improved, the starting time and the ending time of the generation are used as the important basis for the generation prediction of the rice leaf roller, and the accuracy of the generation division result is improved to a certain extent; the moth data are collected and analyzed by a big data technology before generation division is carried out, the current moth amount is predicted by establishing a moth data check model, difference comparison is carried out on the current moth amount and the actual moth amount, and for the moth amount with overlarge difference, related personnel are reminded to check the moth amount in time, so that the accuracy of the generation division result is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a structural diagram of a pest data management system based on moth repelling survey according to the present invention;
FIG. 2 is a flow chart of a pest and disease damage data management method based on moth repelling survey according to the invention;
FIG. 3 is an exemplary graph of 2015 year generation divisions of the Tongzhou region of Nantong city according to the present invention;
FIG. 4 is a graph illustrating the raw moth repellent data of the present invention;
FIG. 5 is a graphical representation of data for the smoothed catch moth according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present invention and not to limit the present invention.
Referring to fig. 1-5, the present invention provides a technical solution: a pest and disease data management system based on moth repelling survey, the system comprises: the system comprises a field survey data acquisition module, a collected data checking module, a database, a generation division configuration module, a generation division calculation module and a generation result prompting module;
the output end of the field survey data acquisition module is connected with the input ends of the acquired data checking module and the database, the output end of the database is connected with the input ends of the generation division calculation module and the generation result prompting module, the output end of the generation division configuration module is connected with the input end of the generation division calculation module, and the output end of the generation division calculation module is connected with the input end of the generation result prompting module;
acquiring moth dispelling data in the field through a field investigation data acquisition module;
establishing a data checking model through a data acquisition checking module, checking moth dispelling data in the field, and transmitting the checked data to a database;
storing the checked moth dispelling data through a database;
configuring relevant parameters of generations through a generation division configuration module;
calculating generation starting date and generation ending date through a generation division calculating module to obtain a generation division result;
comparing the historical division result with the current division result through a generation result prompting module, prompting a forecasting worker when a new generation division result appears, and carrying out pest and disease damage analysis and prediction by the forecasting worker according to the new generation division result.
The field survey data acquisition module comprises a geographic information acquisition unit, a time acquisition unit and a moth-repelling data acquisition unit;
the output end of the geographic information acquisition unit is connected with the input end of the database;
the geographic information acquisition unit is used for acquiring the location information of the moth in the region;
the time acquisition unit is used for acquiring the time data of moth repelling;
the moth dispelling data acquisition unit is used for acquiring the quantity and the area information of moth dispelling, the quantity and the area information of moth dispelling are manually input by investigators, and the collected moth dispelling time and the collected moth dispelling quantity information are transmitted to the collected data checking module.
The collected data checking module comprises a checking model establishing unit, a data checking reminding unit and a checking data transmission unit;
the input end of the checking model establishing unit is connected with the output ends of the time acquisition unit and the moth-repelling data acquisition unit, the output end of the checking model establishing unit is connected with the input end of the data checking and reminding unit, the output end of the data checking and reminding unit is connected with the input end of the checking data transmission unit, and the output end of the checking data transmission unit is connected with the input end of the database;
the checking model establishing unit is used for establishing a moth-repelling data checking model;
the data checking and reminding unit is used for substituting the current moth repelling time into the moth repelling data checking model, predicting the number of moths corresponding to the current moth repelling time, comparing the predicted number of the moths with the current actual number of the moths to obtain a number difference value, setting a deviation threshold value, comparing the number difference value with the deviation threshold value, and reminding to check whether the current actual number of the moths is correct or not when the number difference value exceeds the deviation threshold value;
the checking data transmission unit is used for transmitting the checked moth dispelling quantity to the database.
The generation division configuration module comprises a theoretical generation configuration unit and a concerned generation configuration unit;
the output end of the concerned generation configuration unit is connected with the input end of the concerned generation configuration unit, and the output end of the concerned generation configuration unit is connected with the input end of the generation division calculation module;
the theoretical generation configuration unit is used for configuring theoretical generation as generation division data of the whole country by default, wherein the national generation uniform division standard is as follows: first generation: 4.15 before; and (4) second generation: 4.16-5.20; and a third generation: 5.21-6.20; fourth generation: 6.21-7.20; and a fifth generation: 7.21-8.20; and a sixth generation: 8.21-9.20; a seventh generation: 9.21-10.31;
the attention generation configuration unit is for configuring the attention generation as generation division data of a different area, for example: the generation of the rice leaf rollers in Jiangsu province mainly occurs from the third generation to the sixth generation, so that attention to the data of the moth catching before the third generation is not necessary.
The generation result prompting module comprises a generation result acquiring unit, a generation result comparing unit and a generation result prompting unit;
the input end of the generation result acquisition unit is connected with the generation division calculation module and the output end of the database, the output end of the generation result acquisition unit is connected with the input end of the generation result comparison unit, and the output end of the generation result comparison unit is connected with the input end of the generation result reminding unit;
the generation result acquisition unit is used for acquiring the generation division result of the last time and the moth repelling data of the field investigation;
the generation result comparison unit is used for comparing the current generation division result with the last generation division result;
and the generation result reminding unit is used for reminding the testing and reporting personnel when a new generation division result appears, sending the new generation division result to the testing and reporting personnel, and carrying out pest and disease damage prediction by the testing and reporting personnel according to the new generation division result.
A pest and disease damage data management method based on moth repelling survey comprises the following steps:
s1: acquiring moth dispelling data of an area, establishing a data checking model, and checking the acquired moth dispelling data;
s2: displaying the checked moth repelling data as a curve according to date, performing field weighting processing on the moth repelling curve, and finding out all peak periods to form a peak period sequence;
s3: taking the starting date of the 1 st generation as the starting date of the 1 st generation, wherein the starting date of the 1 st generation is the starting date of the moth catching date or the theoretical 1 st generation in the configuration;
s4: finding the most suitable peak period according to the theoretical starting date and the peak period sequence, and determining the actual generation starting date;
s5: and temporarily setting the end time of the last theoretical generation or the time of the last appearance of the moth repelling data in the configuration as the end date of the last generation, obtaining a generation division result and predicting the plant diseases and insect pests.
In step S1: acquiring migration time of moth in one year in the past of a random area as T, acquiring moth quantity as A on the current date of migration, acquiring a set of interval time between migration time of moth in m years in the next corresponding area and T as T = { T1, T2.. Multidot.tm }, acquiring a set of moth quantity as a = { a1, a 2.. Multidot.m }, which is acquired on the current date of migration and is different from A, and establishing a data comparison model am: y = C1x + C2, where C1 represents a weight parameter and C2 represents an offset, and the final data verification model is obtained by solving C1 and C2, and C1 and C2 are calculated respectively according to the following formulas:
C1=[(∑ m i=1 (ti) 2 )(∑ m i=1 ai)-(∑ m i=1 ti)(∑ m i=1 (ti*ai))]/[m(∑ m i=1 (ti) 2 )-(∑ m i= 1 ti) 2 ]；
C2=[m(∑ m i=1 (ti*ai))- (∑ m i=1 ti) (∑ m i=1 ai)]/[m(∑ m i=1 (ti) 2 )-(∑ m i=1 ti) 2 ]；
wherein ti represents the migration time of the moth in one random year in m years and the interval time of T, ai represents the moth quantity which is acquired on the current date corresponding to the migration time and is different from A, and the interval time between the current moth migration time and T is T ’ And when the quantity of the moths which are currently collected and migrate into the day is B, t is calculated ’ Substituting into data check model to obtain difference between the estimated moth amount on the migration day and A, wherein the difference is b = C1 × t ’ + C2, setting the moth quantity deviation threshold value as M, and comparing | B-A | B | with M: if | | | B-A | -B | | non-woven phosphor>M, showing that the difference between the currently collected moth quantity and the predicted moth quantity is large, and reminding to check the currently collected moth quantity; if the | | B-A | -B |, is less than or equal to M, the difference between the currently collected moth quantity and the predicted moth quantity is small, no reminding is made, and the checked moth dispelling datase:Sub>A is obtained: the date sequence for acquiring the current collected moth amount is X = { X 1 ，x 2 ，...，x n And the moth mass sequence of n days is Y = { Y = 1 ，y 2 ，...，y n In which y 1 Indicating the amount of moths migrating to the day after checking.
In step S2: judging the moth mass peak stage: setting the peak period to p, if y i >y i-1 And y is i >y i+1 Then y is judged i Corresponding date x i Is the peak period, i.e. p = x i Wherein, y i 、y i-1 And y i+1 Respectively representing the moth amount of the i th, the i-1 th and the i +1 th dates according to a formula delta = | y i -y i-1 |+| y i -y i+1 Obtaining the variation delta of the peak period p, showing the moth repelling data as a curve according to the date, and carrying out linearity on the moth repelling curveAnd (3) a neighborhood weighted average method, namely taking a neighborhood as E =3, taking all peak periods and adding the peak periods into the sequence P, and performing descending arrangement on the P according to the peak period variation to form a peak period sequence P, wherein the time of alternation between the previous generation and the next generation is before and after the moth high peak period, the purpose of analyzing the peak periods is to make the time of alternation between the previous generation and the next generation more clear, so that a moth catching data curve can be drawn more simply and clearly, the linear neighborhood weighted average method can eliminate accidental variation to make the curve smoother, and further reduce the deviation caused by manual moth amount investigation.
In step S3: assuming that the attention generation configuration comprises n generations in total, wherein the 1 st generation is the 1 st generation of the attention generation, the moth catching date or the theoretical 1 st generation starting time in the configuration is taken as the 1 st generation starting date I, the 2 nd generation starting date II-1 is taken as the ending date, and the theoretical 1 st generation starting time in the configuration refers to the starting time of the 1 st generation of the local generation of the corresponding area, for example: if the local generation 1 is the national third generation, the starting time of the local generation 1 is the national third generation starting time, the ending date refers to the ending time of the generation 1, and the previous day from which the next generation starts is the ending time of the previous generation;
in step S4: let the j generation start date be II, and let the deviation between the j-1 generation actual start date and the theoretical start date be D j-1 The beginning date of the jth agent theory is S j Let d = S j +D j-1 Looking for the peak period P in F days forward and backward with d as the central point, wherein P is in the peak period sequence P, making the range of F =10,p as [ d-10,d +10 +]If p is found, let II = p; if no p is found, searching the latest peak period p with the interval less than d-10 or greater than d +10 ’ Taking the median distance p between the edge dates d-10 or d +10 ’ The more recent date is taken as II if p is not found ’ If so, let II = D, update D j =S j -Ⅱ，D j Represents the deviation of the actual start date of the jth generation from the theoretical start date, D j-1 Represents the deviation between the actual start date of the j-1 th generation and the theoretical start date, D represents the actual start date of the generation for the j generation, and the initial value of D is the start date of the proxy plus D j-1 And is specifically S j +D j-1 ；
For example: the curve shown in fig. 3 is obtained after smoothing, and the local generation 1 is the third generation nationwide, according to the national standard: the starting time of the national fifth generation is 7.21, the starting time of the national sixth generation is 8.21, and the actual starting time of the local 3 rd generation is 7.28, which is shifted 7 days later than the original 7.21, so the theoretical starting time of the local 4 th generation is also shifted 7 days later than 8.21, and becomes 8.28, 9.4 in the curve has a peak, 9.4 is in the range of [8.18,9.7], i.e. p is found, ii = p =9.4, i.e. 9.4 is the starting date of the local 4 th generation;
in step S5: setting the ending time of the last theoretical generation or the time of the last appearance of the moth repelling data in the configuration as III, wherein the III represents the ending date of the last generation to obtain the current generation division result, comparing the current generation division result with the last generation division result, reminding a testing and reporting person when a new generation division result appears, sending the new generation division result to the testing and reporting person, and carrying out pest and disease damage prediction by the testing and reporting person according to the new generation division result, wherein the ending time of the last theoretical generation in the configuration refers to the nth generation ending time of the local generation of the corresponding region, for example: the local last generation 1 is the 4 th generation, and if the local 4 th generation is the sixth generation nationwide, the end time of the local last generation 1 is the end time of the sixth generation nationwide, namely the theoretical end time of the last generation.
The first embodiment is as follows: the migration time of the moths in one year in the past is T =5 and 23 days, the moth quantity collected on the current day of the migration is A =300, the set of the interval time between the migration time of the moths in the following m =3 years of the corresponding area and T is T = { T1, T2, T3} = {10,6,8}, and the unit is as follows: on day, the moth mass set which is different from A =300 and collected on the current day is a = { a1, a2, a3} = {220, 80, 100}, and a data check model is established: y = C1x + C2, where C1 represents a weight parameter and C2 represents an offset, and the final data check model is obtained by solving C1 and C2 according to the formula C1= [ (∑ s) m i=1 (ti) 2 )(∑ m i= 1 ai)-(∑ m i=1 ti)(∑ m i=1 (ti*ai))]/[m(∑ m i=1 (ti) 2 )-(∑ m i=1 ti) 2 ]And C2= [ m (∑ m) m i=1 (ti*ai))- (∑ m i=1 ti) (∑ m i=1 ai)]/[m(∑ m i=1 (ti) 2 )-(∑ m i=1 ti) 2 ]Calculate C1 and C2: c1 is approximately equal to 147, C2=35, y = C1x + C2=147x +35 is obtained, and the interval time between the time of obtaining the current moth and T is T ’ =5, the number of moths currently collected migrating to the day is B =90, and t is calculated ’ Substituting into data check model to obtain difference between the estimated moth amount on the migration day and A, wherein the difference is b = C1 × t ’ + C2=770, setting the moth magnitude deviation threshold to M =200, comparing | | | B-ase:Sub>A | -B | =560 and M =200: | | B-A | -B | non-woven phosphor>And M, indicating that the difference between the currently collected moth amount and the predicted moth amount is large, reminding to check the currently collected moth amount, acquiring the checked moth repelling data, showing the checked moth repelling data as a curve according to the date, and performing field weighting processing.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A pest and disease data management system based on moth repelling survey is characterized in that: the system comprises: the field survey data acquisition module, the acquired data checking module, the database, the generation division configuration module, the generation division calculation module and the generation result prompting module;
the output end of the field survey data acquisition module is connected with the input ends of the acquired data checking module and the database, the output end of the database is connected with the input ends of the generation division calculation module and the generation result prompting module, the output end of the generation division configuration module is connected with the input end of the generation division calculation module, and the output end of the generation division calculation module is connected with the input end of the generation result prompting module;
acquiring moth repelling data in the field through the field investigation data acquisition module;
establishing a data checking model through the acquired data checking module, checking moth dispelling data in the field, and transmitting the checked data to the database;
storing the checked moth dispelling data through the database;
configuring relevant parameters of generations through the generation division configuration module;
calculating a generation starting date and a generation ending date through the generation division calculating module to obtain a generation division result;
comparing the historical division result with the current division result through the generation result prompting module, prompting a forecasting worker when a new generation division result appears, and carrying out pest and disease damage analysis and prediction by the forecasting worker according to the new generation division result.
2. A pest data management system based on a moth repellent investigation of claim 1, wherein: the field survey data acquisition module comprises a geographic information acquisition unit, a time acquisition unit and a moth-repelling data acquisition unit;
the output end of the geographic information acquisition unit is connected with the input end of the database;
the geographic information acquisition unit is used for acquiring the position information of the moth;
the time acquisition unit is used for acquiring the time data of moth repelling;
the moth repelling data acquisition unit is used for acquiring the number and area information of moth repelling.
3. A pest data management system based on a moth repellent survey according to claim 2, wherein: the collected data checking module comprises a checking model establishing unit, a data checking reminding unit and a checking data transmission unit;
the input end of the checking model establishing unit is connected with the output ends of the time acquisition unit and the moth-repelling data acquisition unit, the output end of the checking model establishing unit is connected with the input end of the data checking and reminding unit, the output end of the data checking and reminding unit is connected with the input end of the checking data transmission unit, and the output end of the checking data transmission unit is connected with the input end of the database;
the checking model establishing unit is used for establishing a moth-repelling data checking model;
the data checking and reminding unit is used for substituting the current moth repelling time into the moth repelling data checking model, predicting the number of moths corresponding to the current moth repelling time, comparing the predicted number of the moths with the current actual number of the moths to obtain a number difference value, setting a deviation threshold value, comparing the number difference value with the deviation threshold value, and reminding to check whether the current actual number of the moths is correct or not when the number difference value exceeds the deviation threshold value;
the checking data transmission unit is used for transmitting the checked moth repelling quantity to the database.
4. A pest data management system based on a moth repellent survey according to claim 1, wherein: the generation division configuration module comprises a theoretical generation configuration unit and an attention generation configuration unit;
the output end of the concerned generation configuration unit is connected with the input end of the concerned generation configuration unit, and the output end of the concerned generation configuration unit is connected with the input end of the generation division calculation module;
the theoretical generation configuration unit is used for configuring theoretical generations into uniform generation division data by default;
the concerned generation configuring unit is configured to configure a concerned generation as generation division data of different areas.
5. A pest data management system based on a moth repellent investigation according to claim 4, characterised in that: the generation result prompting module comprises a generation result acquiring unit, a generation result comparing unit and a generation result prompting unit;
the input end of the generation result acquiring unit is connected with the generation division calculating module and the output end of the database, the output end of the generation result acquiring unit is connected with the input end of the generation result comparing unit, and the output end of the generation result comparing unit is connected with the input end of the generation result reminding unit;
the generation result acquisition unit is used for acquiring the generation division result of the last time and the moth repelling data of the field investigation;
the generation result comparison unit is used for comparing the current generation division result with the last generation division result;
the generation result reminding unit is used for reminding a forecast worker when a new generation division result appears, sending the new generation division result to the forecast worker, and carrying out pest and disease damage prediction by the forecast worker according to the new generation division result.
6. A pest and disease data management method based on moth repelling survey is characterized by comprising the following steps: the method comprises the following steps:
s1: acquiring moth dispelling data of an area, establishing a data checking model, and checking the acquired moth dispelling data;
s2: displaying the checked moth repelling data as a curve according to date, performing field weighting processing on the moth repelling curve, and finding out all peak periods to form a peak period sequence;
s3: taking the starting date of the 1 st generation as the starting date of the 1 st generation, wherein the starting date of the 1 st generation is the starting date of the moth catching date or the theoretical 1 st generation in the configuration;
s4: finding the most suitable peak period according to the theoretical starting date and the peak period sequence, and determining the actual generation starting date;
s5: and temporarily setting the finishing time of the last theoretical generation in the configuration or the time of the last appearance of the moth repelling data as the finishing date of the last generation to obtain generation division results and carry out pest and disease damage prediction.
7. A pest data management method based on a moth repelling survey according to claim 6, wherein: in step S1: acquiring the migration time of a random moth of one year in the past in a random area as T, acquiring the moth quantity acquired on the current date of migration as A, acquiring the set of interval time between the migration time of a subsequent m-year moth and T in the corresponding area as T = { T1, T2.., tm }, and acquiring the set of moth quantity acquired on the current date of migration as a = { a1, a 2., am }, and establishing a data comparison model: y = C1x + C2, where C1 represents a weight parameter and C2 represents a bias, a final data check model is obtained by solving C1 and C2, and C1 and C2 are calculated according to the following formulas, respectively:
C1=[(∑ m i=1 (ti) 2 )(∑ m i=1 ai)-(∑ m i=1 ti)(∑ m i=1 (ti*ai))]/[m(∑ m i=1 (ti) 2 )-(∑ m i=1 ti) 2 ]；
C2=[m(∑ m i=1 (ti*ai))- (∑ m i=1 ti) (∑ m i=1 ai)]/[m(∑ m i=1 (ti) 2 )-(∑ m i=1 ti) 2 ]；
wherein ti represents the migration time of the moth in one random year in m years and the interval time of T, ai represents the moth quantity which is acquired on the current date corresponding to the migration time and is different from A, and the interval time between the current moth migration time and T is T ’ The currently collected moth volume migrating to the current day is B, and t is ’ Substituting into data check model to obtain difference between the estimated moth amount on the migration day and A, wherein the difference is b = C1 × t ’ + C2, setting the moth quantity deviation threshold value as M, and comparing | B-A | B | with M: if | | | B-A | -B | | does not calculation>M, showing that the difference between the currently collected moth quantity and the predicted moth quantity is large, and reminding to check the currently collected moth quantity; if the | | B-A | -B |, is less than or equal to M, the difference between the currently collected moth quantity and the predicted moth quantity is small, no reminding is made, and the checked moth dispelling datase:Sub>A is obtained: the date sequence for acquiring the current moth collecting quantity is X = { X = 1 ，x 2 ，...，x n The moth mass sequence of n days is Y = { Y = 1 ，y 2 ，...，y n In which y 1 Is expressed byThe amount of moths migrating to the day after checking.
8. A pest data management method based on a moth repellent investigation according to claim 7, characterized in that: in step S2: judging the moth peak period: setting the peak period to p, if y i >y i-1 And y is i >y i+1 Then, y is determined i Corresponding date x i Is the peak period, i.e. p = x i Wherein, y i 、y i-1 And y i+1 The moth amount on the i-th, i-1-th and i + 1-th dates is represented according to the formula of delta = | y i -y i-1 |+| y i -y i+1 And | obtaining the variation delta of the peak period P, showing the moth repelling data as a curve according to the date, performing a linear neighborhood weighted average method on the moth repelling curve, taking the neighborhood as E, taking out all the peak periods, adding the peak periods into the sequence P, and performing descending arrangement on the P according to the variation of the peak periods to form the peak period sequence P.
9. A pest data management method based on a moth repellent survey according to claim 8, characterized in that: in step S3: setting n generations in the concerned generation configuration, wherein the 1 st generation is the 1 st generation of the concerned generation, the starting date of the moth catching or the theoretical 1 st generation starting time in the configuration is taken as the 1 st generation starting date I, and the j generation starting date II-1 is taken as the ending date;
in step S4: let the j generation start date be II and let the deviation between the j-1 generation actual start date and the theoretical start date be D j-1 The beginning date of the jth agent theory is S j Let d = S j +D j-1 Looking for the peak period P in F days forward and backward with d as the center point, wherein P is in the peak period sequence P, and the range of P is [ d-F, d + F]If p is found, let II = p; if no p is found, searching the latest peak period p with the interval less than d-F or greater than d + F ’ Taking the distance p between the edge dates d-F or d + F ’ The more recent date is taken as II if p is not found ’ If so, let II = D, update D j =S j -Ⅱ，j=2，3，…，n-1；
In step S5: setting the end time of the last theoretical generation or the time of the last occurrence of the moth repelling data in the configuration as III, wherein III represents the end date of the last generation to obtain the current generation division result, comparing the current generation division result with the last generation division result, reminding a testing and reporting person when a new generation division result occurs, sending the new generation division result to the testing and reporting person, and carrying out pest and disease damage prediction by the testing and reporting person according to the new generation division result.
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