CN112130825B - Locust monitoring investigation mobile terminal software system - Google Patents
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- 238000011835 investigation Methods 0.000 title claims abstract description 60
- 238000012544 monitoring process Methods 0.000 title claims abstract description 55
- 238000013508 migration Methods 0.000 claims abstract description 14
- 230000005012 migration Effects 0.000 claims abstract description 14
- 238000005516 engineering process Methods 0.000 claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 238000012790 confirmation Methods 0.000 claims abstract description 6
- 241000238814 Orthoptera Species 0.000 claims description 33
- 230000002265 prevention Effects 0.000 claims description 28
- 238000000034 method Methods 0.000 claims description 9
- 239000000575 pesticide Substances 0.000 claims description 6
- 201000010099 disease Diseases 0.000 claims description 5
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 5
- 241000254022 Locusta migratoria Species 0.000 claims description 4
- 235000013601 eggs Nutrition 0.000 claims description 4
- 230000007613 environmental effect Effects 0.000 claims description 4
- 241000894007 species Species 0.000 claims description 4
- 238000003892 spreading Methods 0.000 claims description 4
- 241000219764 Dolichos Species 0.000 claims description 2
- 239000003086 colorant Substances 0.000 claims description 2
- 238000013480 data collection Methods 0.000 claims description 2
- 238000007689 inspection Methods 0.000 claims description 2
- 230000001788 irregular Effects 0.000 claims description 2
- 238000012216 screening Methods 0.000 claims description 2
- 239000000126 substance Substances 0.000 claims description 2
- 238000010295 mobile communication Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 241000607479 Yersinia pestis Species 0.000 description 3
- 208000015181 infectious disease Diseases 0.000 description 3
- 241000196324 Embryophyta Species 0.000 description 1
- 241000238631 Hexapoda Species 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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- G06F9/451—Execution arrangements for user interfaces
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Abstract
The mobile terminal software system for locust monitoring investigation mainly comprises a map area and a functional option area, wherein the functional option area is divided into six sub-functional areas, and the six sub-functional areas are respectively artificial investigation acquisition, image identification acquisition, locust line investigation, locust control guidance, data record inquiry and news knowledge information; the software system can locate any position to confirm the monitoring point, and after confirmation, the data acquisition is carried out on the monitoring point through two modes of manual investigation acquisition and image identification acquisition, and then the system analysis is carried out by combining the weather environment, the temperature and humidity, the geographic position, the geographic information, the acquisition date and the like of the monitoring point. The software accurately judges the occurrence condition, the place, the range, the migration track, the environment information and the like of the locust by combining a software technology, a mobile communication technology and a GPS positioning technology with a GIS platform, and can clearly display the judging result.
Description
Technical Field
The invention relates to a pest monitoring and early warning technology in the field of plant protection.
Background
Locust is the most serious pest of crops in our country, and the disasters and drought disasters caused by locust are called three disasters, and the area of the locust is more than 10 hundred million mu in our country all year round. Once the prevention and the control are not in time, serious loss is brought to the production of food and animal products in China. Therefore, the occurrence of the locust can be timely and accurately monitored and recorded in the locust control, and the timely processing and analysis of the monitored condition data are very critical.
Disclosure of Invention
Aiming at the problems, the invention provides a mobile locust monitoring investigation terminal software system which can be used for mobile phones, handsets, tablet computers and other mobile electronic equipment, wherein a software main interface mainly comprises a map area and a function option area, the function option area is divided into six sub-function areas, and is respectively used for manual investigation collection, image recognition collection, locust line investigation, locust prevention and control guidance, data record inquiry and news knowledge information, software can locate any position confirmation monitoring points and can locate any position confirmation monitoring points, after confirmation, the monitoring points are subjected to data acquisition by two modes of manual investigation collection and image recognition collection, and then are subjected to system analysis by combining with weather environment, temperature and humidity, geographic position, geographic information, collection date (accurate to seconds) and the like of the monitoring points, so that the current locust occurrence degree, locust occurrence trend, possible locust prevention and control guidance and other schemes are judged, and a user can rapidly locate the current locust occurrence situation, point and point direction and immediately take special prevention and control measures according to the judgment results, the current locust occurrence situation and locust prevention and control measures and the locust prevention and control measures can be used for timely searching the information by the latest information of the special locust, and the information can be also searched by the information, and the information can be shared by the latest information, and the information of the special information, and the information can be searched and the information of the information is also searched in the important information.
The invention adopts the technical proposal to realize the aim, and has the following advantages: 1. the software accurately judges the occurrence condition, the place, the range, the migration track, the environmental information and the like of the locust by combining a software technology, a mobile communication technology and a GPS positioning technology with a GIS platform, and can clearly present the judging result. 2. According to many years of study on the locusts and the combination of image recognition technology, the software can rapidly and accurately recognize the number, the types, the age, the sexes, whether the locusts are social, the health degree, whether the locusts are infected or not and other various characteristics by photographing the locusts on site and performing image recognition, and powerful data support is provided for judging the occurrence degree of the locusts. 3. The software can accurately judge the current locust occurrence degree, the locust occurrence trend, the possible propagation line track of the locust and the like by performing specialized analysis on the acquired data, and provides matched schemes such as locust line investigation, locust control guidance and the like according to the judgment results, so that a user can rapidly position the current locust occurrence condition, investigation direction and immediately take measures according to a specialized control method, and the locust is timely controlled. 4. The software is friendly in interface, portable in carrier, suitable for various locust breeding areas, river beaches, marshes and other complex areas difficult to artificially and practically survey, has the characteristics of high efficiency, simplicity, high accuracy, high stability and the like, and can save a large amount of manpower and material resource costs.
Drawings
FIG. 1 is a schematic diagram of a software main interface.
FIG. 2 is a schematic diagram of the interface of the data manual acquisition sub-functional area.
FIG. 3 is a schematic view of an image recognition acquisition sub-function area interface.
Fig. 4. Interface of the locust line investigation subfunction region.
Fig. 5. Interface schematic of locust control director functional area.
FIG. 6 is a schematic diagram of a data record query sub-function area interface.
FIG. 7 is a schematic diagram of a news knowledge recommendation sub-function area interface.
Detailed Description
As shown in figure 1, the software can locate any position to confirm a monitoring point, perform data acquisition on the monitoring point through two modes of manual investigation acquisition and image recognition acquisition after confirmation, perform system analysis by combining weather environment, temperature and humidity, geographic position, geographic information, acquisition date (accurate to seconds) and the like of the monitoring point, judge current locust occurrence degree, locust occurrence trend, possible locust spreading line track and the like of the monitoring point, provide matched schemes such as locust line investigation and locust prevention and control guidance and the like according to the judgment results, enable a user to quickly locate current locust occurrence condition and investigation direction, immediately take measures according to a professional prevention and control method, enable the locust to be prevented and controlled in time, and also check data and investigation results of each monitoring point in each period through data record inquiry, check latest locust information, important event information, locust science technology and the like on the aspect of locust through news knowledge information, and also actively report information to perform emergency reporting of locust information and resource exchange.
As shown in fig. 1, the software main interface mainly includes two areas, namely a map area and a function option area.
The map in the map area can locate any position and confirm the monitoring point, it can present the judgement result to the locust occurrence degree of each monitoring point, the concrete presentation mode is, through showing the occurrence situation after confirming the monitoring point, each monitoring point can appear a semitransparent colored area of irregular shape in the software map, its regional size is variable, represent different areas and ranges that the locust takes place with different sizes and shapes, its regional colour is variable, represent the different degree that the locust takes place with different colours, the user can obtain the relevant information that the locust takes place through observing the colored region on the map. The user can also see the locust generation degree information around the map or even in the whole province and the whole country through the operations of positioning the position of the user, enlarging or reducing the map and the like.
The function option area is divided into six sub-function areas, which are respectively manual investigation and collection, image identification and collection, locust line investigation, locust control guidance, data record inquiry and news knowledge information.
The software collects the manual investigation data of the related locust through the manual investigation collection sub-functional area, specifically, click and enter the functional area interface, as shown in fig. 2, the software can enable the user to input the manual investigation data of the related locust of the monitoring point by himself, and the data which can be input by himself comprises the following 12 types:
1. Number of locusts: the input data is the number of locusts in a certain area;
2. Locust species: the input data are locust types, such as migratory locust in east asia, asian small car locust, etc.;
3. locust age: the input data are 6 kinds of data such as 1 age, 2 age, 3 age, 4 age, 5 age, adults and the like;
4. male and female: the input data are 2 data of more male worms, more female worms and the like;
5. number of locust eggs: the input data is the number of locust egg masses in a certain area;
6. density of occurrence: the input data is the number of locust occurrences per square meter;
7. Area of occurrence: the input data is the estimated locust generation area;
8. Population type: the input data are 2 kinds of data such as social or non-social data;
9. environmental information: the input data is information of an ecological system or a geographic environment, such as grasslands, farmlands, wetlands and the like;
10. And (3) migrating a track: the input data is data from the monitoring position to other geographic directions and positions, such as eastern direction, beijing direction and the like;
11. health degree: the input data are 4 kinds of data including active data, normal data, inactive data, dying data and the like;
12. whether it is affected by the disease: the input data are 2 kinds of data such as a rehabilitation state, a disease state and the like;
The software collects the current image recognition data of the locust confirming the monitoring point through the image recognition collection sub-functional area, specifically, click and enter the functional area interface, as shown in fig. 3, the software can automatically analyze the image recognition data by photographing the locust scene and carrying out image recognition, and the image recognition data comprises the following 6 types:
1. number of locusts: the identification data is the number of locusts in the picture;
2. Locust species: the identification data are the types of locusts in pictures, such as migratory locusts in east Asia, asia dolichos and the most number of types;
3. Locust age: identifying whether each locust in the picture is 1,2, 3, 4, 5 or adult, and the average age and the number of the ages are the most;
4. Male and female: identifying whether each locust in the picture is male or female or more male;
5. population type: identifying whether the data is social or non-social;
6. Whether it is affected by the disease: the identification data is used for judging whether the locust is in a healthy state or in a diseased state according to the body surface characteristics of the locust.
As shown in fig. 4, software automatically generates key investigation sample points, key migration routes, investigation urgency and the like through a locust line investigation sub-functional area to present the occurrence trend of the locust at each monitoring point and the periphery thereof, the judgment result of the possible propagation line track of the locust and corresponding locust investigation route guidance, wherein the key investigation sample points refer to the areas where the locust may outbreak and need to be manually investigated on the spot, the key migration routes refer to the routes connecting the key investigation sample points, the possible migration track of the locust between the key investigation sample points is represented, the investigation urgency refers to the occurrence probability of the locust at each key investigation sample point, the scale is divided into 5 levels, the scale is gradually increased, and the generated key migration routes are connected with the key investigation sample points in a dot-line combination mode and the urgency level is marked at each point to be presented on a map. The user carries out directional locust inspection according to the investigation urgency degree to each key investigation sampling point along the given key migration route according to the generated result, and the method is trace and circulated, thereby greatly reducing redundant consumption and improving investigation work accuracy.
The software presents the professional prevention and control guidance method corresponding to each monitoring point through the locust prevention and control guidance sub-functional area, specifically presents the mode, clicks and enters the interface of the functional area, as shown in fig. 5, after a user enters the locust prevention and control guidance functional area, different monitoring points can be selected, the software can be matched with various prevention and control schemes for selection according to any monitoring point and the occurrence condition of the locust, meanwhile, the past prevention and control records can be checked, the prevention and control schemes comprise physical prevention and control, biological pesticide prevention and control, chemical pesticide prevention and control and the like, and specific scheme indexes such as specific pesticide application types, consumption and proportion, application methods, application time, application modes and the like are given.
The software searches or downloads the historical collection data and the locust judgment result of each time period of each monitoring point through the data record inquiring sub-functional area software, and the specific presentation mode is that, as shown in fig. 6, the software can select and confirm one or more monitoring points and time periods, can display all the data collection records of the one or more monitoring points in the selected time period and the corresponding locust judgment result, and can also search out the collection of each monitoring data and judgment result of different monitoring points in a certain range through the data screening of the chart.
As shown in fig. 7, the software is specially provided for the user to view the latest locust information, important event information, locust science and technology and the like related to the locust through the news knowledge information sub-functional area, and the information can be actively reported to perform the emergency reporting of the locust information and the resource exchange sharing. Through the information, the user is assisted to better complete the investigation and prevention of the locust.
The invention is only illustrated by the software and the functional examples thereof, experiments prove that by collecting the manual investigation data and the image identification data of the monitoring points, the manual investigation data comprise the number, the type, the age, the male and female number, the density, the social residence degree, the environmental information, the migration track, the healthy infection degree, the infection degree and the like of the locusts, the image identification data comprise the number, the type, the age, the male and female degree, the social residence degree, the health degree, the infection degree and the like of the locusts, and the like, and then the system analysis and the storage are carried out by combining the weather environment, the temperature and humidity, the geographic position, the geographic information, the acquisition date (accurate to seconds) and the like of the monitoring points, the current locusts occurrence degree, the current locusts occurrence trend, the line track of the locusts possibly spreading, and the like of the locusts can be accurately judged, and the matched locusts line investigation and the locusts control guidance and the like are provided according to the judgment results, so that a user can rapidly position the current locusts occurrence condition and the investigation direction and take immediate measures according to a professional control method, and timely prevention and control of the locusts. The data record inquiry of the software can clearly and accurately record the occurrence condition of diseases and insect pests in various places, is convenient to search at any time, provides key information for locust control research, can clearly know the latest and serious news of the current locust or the latest scientific technology and the like of the related locust through the news knowledge information of the software, and simultaneously reports the locust information to carry out emergency reporting and resource exchange sharing of the locust information. Through the information, the user is assisted to better complete the investigation and prevention of the locust.
The present invention is described in terms of the above embodiments only, and equivalent changes according to the principles of the present invention should not be excluded from the scope of the present invention.
Claims (3)
1. The locust monitoring investigation mobile terminal software system is characterized in that: the software system main interface mainly comprises a map area and a functional option area, wherein the functional option area is divided into six sub-functional areas, namely, manual investigation and collection, image identification and collection, locust line investigation, locust control guidance, data record inquiry and news knowledge information; the software system can locate any position to confirm a monitoring point, data acquisition is carried out on the monitoring point through two modes of manual investigation acquisition and image identification acquisition after confirmation, and then the weather environment, the temperature and the humidity of the monitoring point, the geographic position, the geographic information, the acquisition date and the like are combined to carry out system analysis, the acquisition date can be accurate to seconds, so that the current locust occurrence degree, the locust occurrence trend, the possible locust spreading line track and the like of the monitoring point are judged, and matched schemes such as locust line investigation and locust prevention and control guidance are provided according to the judgment results, so that a user can quickly locate the current locust occurrence condition, investigate the direction and immediately take measures according to a professional prevention and control method, and the locust is prevented and controlled in time; the map area: the map in the map area can locate any position and confirm the monitoring point, it can present the judgement result to the locust occurrence degree of each monitoring point, the concrete presentation mode is, through showing the occurrence situation after confirming the monitoring point, each monitoring point can appear a semitransparent colored area of irregular shape in the software map, its area size is variable, represent different areas and ranges that the locust takes place with different sizes and shapes, its regional color is variable, represent different degrees that the locust takes place with different colors, users can obtain the relevant information that the locust takes place through observing the colored area on the map; the user can also see the locust occurrence degree information around the map or even in whole province and nationwide through the operations such as positioning the position of the user, enlarging or reducing the map and the like; the manual investigation and collection: the software can enable the user to input manual investigation data about the locust at the monitoring point by himself, and the data which can be input by himself comprise the following 12 kinds: (1) number of locusts: the input data is the number of locusts in a certain area; (2) locust species: the input data are locust types, such as migratory locust in east asia, asian small car locust, etc.; (3) locust age: the input data are 6 kinds of data such as 1 age, 2 age, 3 age, 4 age, 5 age, adults and the like; (4) male and female: the input data are 2 data of more male worms, more female worms and the like; (5) number of locusts eggs: the input data is the number of locust egg masses in a certain area; (6) occurrence density: the input data is the number of locust occurrences per square meter; (7) occurrence area: the input data is the estimated locust generation area; (8) social group: the input data are 2 kinds of data such as social or non-social data; (9) environmental information: the input data is information of an ecological system or a geographic environment, such as grasslands, farmlands, wetlands and the like; (10) migration trajectory: the input data is data from the monitoring position to other geographic directions and positions, such as eastern direction, beijing direction and the like; (11) degree of health: the input data are 4 kinds of data including active data, normal data, inactive data, dying data and the like; (12) whether or not the patient is affected: the input data are 2 kinds of data such as a rehabilitation state, a disease state and the like; the image identification acquisition: the software can automatically analyze the image identification data by photographing the locust field and carrying out image identification, and the image identification data comprises the following 6 types: (1) number of locusts: the identification data is the number of locusts in the picture; (2) locust species: the identification data are the types of locusts in pictures, such as migratory locusts in east Asia, asia dolichos and the most number of types; (3) locust age: identifying whether each locust in the picture is 1, 2, 3, 4, 5 or adult, and the average age and the number of the ages are the most; (4) male and female: identifying whether each locust in the picture is male or female or more male; (5) social group: identifying whether the data is social or non-social; (6) whether or not the patient is affected: the identification data is used for judging whether the locust is in a healthy state or a diseased state according to the body surface characteristics of the locust; investigation of locust lines: the method comprises the steps that software automatically generates key investigation sample points, key migration routes, investigation urgency and the like to display the occurrence trend of locusts around each monitoring point, the judgment result of the possible spreading line track of the locusts and corresponding guidance of the locusts investigation routes, wherein the key investigation sample points are required to be manually and practically inspected in a region where the locusts possibly burst, the key migration routes are routes connected with the key investigation sample points, the possible migration movement track of the locusts between the key investigation sample points is represented, the investigation urgency is the locusts occurrence probability of each key investigation sample point, the steps are divided into 5 stages, the steps are gradually increased, the generated locusts are connected with the key investigation sample points in a point-line combination mode in the key migration routes and are displayed on a map, and a user performs directional harmful inspection on each key investigation sample point according to the investigation urgency along the key migration routes; the locust control guidance comprises the following steps: the software can be used for matching various prevention and control schemes for selection according to any monitoring point and locust occurrence condition thereof, and can also check the past prevention and control records, wherein the prevention and control schemes comprise physical prevention and control, biological pesticide prevention and control, chemical pesticide prevention and control and the like, and specific scheme indexes such as specific pesticide application types, dosage and proportion, application methods, application time, application modes and the like are given; the data record inquiry: the software can search or download the historical collection data and the locust judgment results of each time period of each monitoring point, and the specific presentation mode is that the software can select and confirm one or more monitoring points and time periods, can display all data collection records of the one or more monitoring points in the selected time period and the corresponding locust judgment results, and can search out the collection of each monitoring data and judgment results of different monitoring points in a certain range through the data screening of the chart.
2. The locust monitoring survey mobile end software system of claim 1, wherein: can be used for mobile electronic equipment.
3. The locust monitoring survey mobile end software system of claim 1, wherein: the software system can be used for checking the latest locust information, the important event information and the locust science and technology related to the locust through news knowledge information, and can also actively report the information so as to carry out emergency report of the locust information and exchange and share of information resources.
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