CN115641010B - Land supervision management system based on satellite monitoring technology - Google Patents
Land supervision management system based on satellite monitoring technology Download PDFInfo
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- CN115641010B CN115641010B CN202211567911.3A CN202211567911A CN115641010B CN 115641010 B CN115641010 B CN 115641010B CN 202211567911 A CN202211567911 A CN 202211567911A CN 115641010 B CN115641010 B CN 115641010B
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Abstract
The invention discloses a land supervision management system based on a satellite monitoring technology, which belongs to the field of land and is used for solving the problems that the current farmland land supervision mode cannot carry out accurate analysis on planting types in farmland land and cannot realize differentiated supervision management of the farmland land.
Description
Technical Field
The invention belongs to the field of land, relates to a land supervision and management technology, and particularly relates to a land supervision and management system based on a satellite monitoring technology.
Background
The land is the atmosphere above and below the surface of a particular region of the earth, the soil and underlying geology, the hydrology and plants, and animals, and also contains the myriad consequences of past and present human activities within that region that have had a significant impact on human land utilization. China geography is widely praised that land is a comprehensive natural geography. The land is considered to be a natural complex of a certain section of the earth's surface including a plurality of natural elements such as geology, landform, climate, hydrology, soil, vegetation and the like.
At present, the land monitoring mode is mainly unmanned aerial vehicle inspection, the monitoring result of the farmland land is planting crops or barren and unworn, so that the planting types in the farmland land cannot be accurately analyzed, and meanwhile, the farmland land cannot be subjected to differential monitoring management by combining factors such as the land of the farmland land and the like;
therefore, we propose a land monitoring management system based on satellite monitoring technology to solve the above problems.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a land supervision management system based on a satellite monitoring technology, a land region is defined through a land delineation module to obtain the supervision level of the land region, then the planting condition of the land region is intelligently compared through an intelligent comparison module according to the supervision level, the land condition of an illegal land region is analyzed through a land analysis module, finally, the land region where current plants are planted is supervised and managed through the supervision management module according to a land loss value, and the supervision measures of the land region are set according to the supervision measure level, so that the problems of accurately analyzing the planting types in the land of the land and carrying out differentiated supervision and management on the land of the land are solved.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a land supervision management system based on a satellite monitoring technology comprises a data acquisition module, an intelligent comparison module, an internet module, a land delineation module, a storage module, a management terminal, a display module, a supervision management module, a land analysis module and a server; the management terminal is used for inputting planting types of plants in a farmland area, growth stages corresponding to the plants and historical supervision data of the farmland area and sending the historical supervision data to the server, the server sends the historical supervision data of the farmland area to the storage module, and the server sends the planting types and the growth stages to the intelligent comparison module; the land delineation module is used for delineating farmland regions according to historical supervision data to obtain supervision levels of the farmland regions and feed the supervision levels back to the server, the server sends the supervision levels to the display module, and the display module is used for displaying the farmland regions with different supervision levels;
the server intelligently compares the farmland regions according to the sequence of the first monitoring level, the second monitoring level and the third monitoring level, and the internet module obtains a preset land picture of the plant according to the planting type and the growth stage and sends the preset land picture to the intelligent comparison module; the data acquisition module is used for acquiring a real-time soil map of a farmland area and sending the real-time soil map to the server, and the server sends a real-time soil picture to the intelligent comparison module; the intelligent comparison module is used for intelligently comparing the planting conditions of the farmland area, generating a comparison passing signal or a comparison failure signal and feeding back the comparison passing signal or the comparison failure signal to the server;
when the server receives the comparison failure signal, the data acquisition module is used for acquiring real-time land data of the farmland area and sending the real-time land data to the server, and the server sends the real-time land data to the land analysis module; the land analysis module is used for analyzing the land condition of the illegal farmland area to obtain a value promotion signal or feeding back a land loss value of the farmland area corresponding to the current planted plant to the server, if the server receives the value promotion signal, the server sends the value promotion signal to the management terminal, and if the server receives the land loss value, the server sends the land loss value to the supervision management module; the supervision management module supervises and manages the farmland area according to the land loss value, the obtained supervision measure grade of the farmland area is fed back to the server, and the server sets the supervision measure of the farmland area according to the supervision measure grade.
Further, the historical supervision data comprises the number of illegal operations of the farmland area, the illegal operation time of each illegal operation, the soil loss amount and the area loss amount of the farmland area;
the real-time land data comprises the planting time of the current plant in the farmland area, the market price of the current plant in the previous week every day and the soil loss of the previous week in the farmland area every day.
Further, the land delineation module comprises the following delineation processes:
acquiring the number of illegal operations of a farmland area;
then, the violation operation time of each violation operation in the farmland area is obtained, the time interval between adjacent violation operation times is calculated to obtain a plurality of groups of violation operation interval durations, and the violation operation interval durations in the farmland area are obtained by adding, summing and averaging the violation operation interval durations;
finally, acquiring the soil loss and the area loss of the farmland area;
and calculating a land supervision value of the farmland area, comparing the land supervision value with a land supervision threshold value, and judging that the supervision grade of the farmland area is a third supervision grade, a second supervision grade or a first supervision grade.
Further, the display process of the display module is specifically as follows:
if the supervision level of the farmland area is the first supervision level, marking the farmland area by adopting red;
if the supervision level of the farmland area is the second supervision level, marking the farmland area by adopting yellow;
and if the monitoring level of the farmland area is the third monitoring level, marking the farmland area in green.
Further, the intelligent comparison process of the intelligent comparison module specifically comprises the following steps:
acquiring a preset land picture and a corresponding real-time land picture of a farmland area;
comparing the plants in the current growth stage in the preset land picture with the plants in the real-time land picture;
if the plants are matched, a comparison passing signal is generated, and if the plants are not matched, a comparison failure signal is generated.
Further, the preset land picture and the real-time land picture are zoomed into the same specification, and the resolution and the definition are kept consistent.
Further, the server sends the comparison passing signal or the comparison failure signal to the management terminal, if the management terminal receives the comparison failure signal, the number of illegal operations of the farmland area is increased once, and if the management terminal receives the comparison passing signal, no operation is performed.
Further, the analysis process of the land analysis module is specifically as follows:
acquiring the planting time of the current plant in a farmland area;
then, the market price of the current plant in the farmland area in the previous week is obtained, and the market prices of the current plant in the farmland area in the previous week are added, summed and averaged to obtain the average market price of the current plant in the farmland area;
calculating the current planting value of the current plant in the farmland area within the planting time;
finally, the planting time of the plants in the farmland area input by the management terminal and the market price of the plants input by the management terminal in the previous week and each day are obtained, and the input planting value of the plants input by the management terminal in the planting time is obtained by multiplying the planting time by the market price;
if the current planting value is greater than or equal to the input planting value, generating a value promotion signal;
and if the current planting value is less than the input planting value, subtracting the current planting value from the input planting value to obtain a planting value difference value of the current plant planted in the farmland area, simultaneously obtaining the soil loss of the current plant in the farmland area within the planting time, and calculating the land loss value of the farmland area corresponding to the current plant.
Further, the working process of the supervision management module is specifically as follows:
and comparing the land loss value with a land loss threshold value, and judging that the monitoring measure grade of the farmland area is a third monitoring measure grade, a second monitoring measure grade or a first monitoring measure grade.
Further, the setting process of the monitoring measures is specifically as follows;
if the first monitoring measure grade is adopted, the monitoring measures are as follows: monitoring the farmland area every three days, wherein the punishment sum of the farmland area growers is N3;
if the grade is the second monitoring measure grade, the monitoring measure is as follows: monitoring the farmland area every week, wherein the punishment amount of the farmland area growers is N2;
if the grade is the third monitoring measure grade, the monitoring measure is as follows: monitoring the farmland area every month, wherein the punishment amount of the farmland area growers is N1; wherein, N1, N2 and N3 are sum prices, and N1 is more than N2 and less than N3.
Compared with the prior art, the invention has the beneficial effects that:
the method comprises the steps of delineating a farmland area through a land delineation module to obtain a supervision level of the farmland area, intelligently comparing planting conditions of the farmland area through an intelligent comparison module according to the supervision level to generate a comparison passing signal or a comparison failure signal, analyzing the land conditions of the illegal farmland area through a land analysis module if the comparison failure signal is generated to generate a value promotion signal or a land loss value of the farmland area corresponding to a current plant to be planted, sending the land loss value to a supervision management module, supervising and managing the farmland area where the current plant is planted according to the land loss value to obtain a supervision measure level of the farmland area, and setting supervision measures of the farmland area according to the supervision level.
Drawings
To facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention;
fig. 2 is a flow chart of the operation of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In an embodiment, please refer to fig. 1, a land monitoring and management system based on a satellite monitoring technology, where the land may refer to farmland, grazing land, slope protection, and the like, and the system is mainly used for monitoring farmland areas, and includes a data acquisition module, an intelligent comparison module, an internet module, a land delineation module, a storage module, a management terminal, a display module, a monitoring and management module, a land analysis module, and a server;
before specific implementation, a worker inputs registration information through a management terminal, registers a login system and sends the registration information to a server, wherein the registration information comprises a name, a mobile phone number, an identity card number and the like;
in specific implementation, the management terminal is used for inputting planting types of plants in a farmland area, growth stages corresponding to the plants and historical supervision data of the farmland area and sending the planting types and the growth stages to the intelligent comparison module;
specifically, the historical supervision data includes the number of illegal operations in a farmland area, the illegal operation time during each illegal operation, the soil loss amount and the area loss amount of the farmland area, wherein the illegal operations are mainly planting plants of corresponding planting types which are not specified;
specifically, the land delineation module is connected with the storage module, and the land delineation module is used for delineating the farmland region according to historical supervision data, and the delineation process specifically as follows:
acquiring the number of illegal operations of a farmland area, and marking the number of operations as CC; then, the violation operation time of each violation operation in the farmland area is obtained, the time interval of adjacent violation operation times is calculated to obtain a plurality of groups of violation operation interval durations, and the violation operation interval durations of the plurality of groups of violation operation intervals are added and averaged to obtain the violation operation interval average duration JT of the farmland area; finally, acquiring the soil loss TL and the area loss MQ of the farmland area; calculating to obtain a land supervision value TJ of the farmland region through a formula TJ = (CC + TL + MQ)/JT; if TJ is less than X1, the monitoring grade of the farmland area is a third monitoring grade; if the TJ is more than or equal to X1 and less than X2, the monitoring level of the farmland area is a second monitoring level; if X2 is less than or equal to TJ, the monitoring level of the farmland area is the first monitoring level; wherein X1 and X2 are both land supervision threshold values with fixed numerical values, and X1 is less than X2;
the land delineation module feeds back the supervision level of the farmland region to the server, the server sends the supervision level of the farmland region to the display module, the display module is used for displaying the farmland regions with different supervision levels, and the display process is as follows specifically:
if the supervision level of the farmland area is a first supervision level, marking the farmland area by adopting red, if the supervision level of the farmland area is a second supervision level, marking the farmland area by adopting yellow, and if the supervision level of the farmland area is a third supervision level, marking the farmland area by adopting green;
in the embodiment, a server intelligently compares farmland areas according to the sequence of a first monitoring level, a second monitoring level and a third monitoring level, meanwhile, an intelligent comparison module is connected with an internet module, the internet module is connected with the external internet, the internet module obtains a preset land picture of a plant according to the planting type and the growth stage, and sends the preset land picture of the plant to the intelligent comparison module;
the data acquisition module is used for acquiring a real-time land picture of a farmland region and sending the real-time land picture to the server, and the server sends the real-time land picture of the farmland region to the intelligent comparison module;
in specific implementation, the data acquisition module can be a high-definition camera erected on the unmanned aerial vehicle, and real-time land pictures are shot and uploaded by a worker at the management terminal to control the unmanned aerial vehicle;
the intelligent comparison module is used for intelligently comparing the planting conditions of farmland regions, and the intelligent comparison process specifically comprises the following steps:
acquiring a preset land picture and a corresponding real-time land picture of a farmland area; the preset land picture and the real-time land picture are zoomed into the same specification, and the resolution and the definition are kept consistent; comparing the plants in the current growth stage in the preset land picture with the plants in the real-time land picture; if the plants are matched, generating a comparison passing signal, and if the plants are not matched, generating a comparison failure signal; the method for comparing the preset land picture with the real-time land picture comprises the following steps: the method comprises the steps of a plant overall outline comparison method, a plant upper leaf shape comparison method, an artificial intelligent identification method and the like;
the intelligent comparison module feeds back a comparison passing signal or a comparison failing signal to the server, the server sends the comparison passing signal or the comparison failing signal to the management terminal, if the management terminal receives the comparison failing signal, the number of illegal operations of the farmland area is increased once, and if the management terminal receives the comparison passing signal, no operation is performed;
when the server receives the comparison failure signal, the data acquisition module is also used for acquiring real-time land data of the farmland area and sending the real-time land data to the server, and the server sends the real-time land data to the land analysis module;
specifically, the real-time land data includes the planting duration of the current plant in the farmland area, the market price of the current plant in the previous week and the daily soil loss in the previous week in the farmland area;
the land analysis module is used for analyzing the land condition of the illegal farmland area, and the analysis process is as follows:
acquiring the planting time (taking day as unit) of the current plant in a farmland area, and marking the planting time as ZT; then obtaining the market prices of the current plants in the farmland area every week, and adding and averaging the market prices of the current plants in the farmland area every week to obtain the market average price JG of the current plants in the farmland area; calculating to obtain the current planting value DZZ of the current plant in the planting time in the farmland area through a formula DZZ = ZT multiplied by JG; finally, the planting time of the plants in the farmland area input by the management terminal and the market price of the plants input by the management terminal in the previous week each day are obtained, and the input planting value SZZ of the plants input by the management terminal in the planting time is obtained by multiplying the planting time by the market price; if the current planting value is greater than or equal to the input planting value, generating a value increasing signal; if the current planting value is smaller than the input planting value, subtracting the current planting value from the input planting value to obtain a planting value difference value ZC of planting the current plant in the farmland area, simultaneously obtaining the soil runoff DTL of the current plant in the farmland area within the planting time length, and calculating through a formula TS = ZC × a1+ DTL × a2 to obtain a land loss value TS of the farmland area corresponding to the planting of the current plant; in the formula, a1 and a2 are both weight coefficients with fixed values, and the values of a1 and a2 are both greater than zero, the above formulas are all dimensionless value calculation, the weight coefficient is a specific value obtained by quantizing each parameter, and regarding the value of the weight coefficient, the specific value is only illustrated and is convenient to understand, as long as the proportional relation between the parameter and the quantized value is not affected;
the land analysis module feeds back the generated value promotion signal or the land loss value TS of the farmland area corresponding to the current planted plant to the server, if the server receives the value promotion signal, the value promotion signal is sent to the management terminal, and if the server receives the land loss value of the farmland area corresponding to the current planted plant, the server sends the land loss value TS to the supervision management module;
the supervision management module supervises and manages the farmland area where the current plant is planted according to the land loss value, and the working process is as follows:
if TS is less than Y1, the monitoring measure grade of the farmland area is a third monitoring measure grade; if the TS is more than or equal to Y1 and less than Y2, the level of the supervision measure of the farmland area is a second supervision measure level; if Y2 is less than or equal to TS, the supervision measure grade of the farmland area is the first supervision measure grade; wherein Y1 and Y2 are land loss thresholds with fixed numerical values, and Y1 is less than Y2;
the monitoring management module feeds back the monitoring measure grade of the farmland area to the server, and the server sets the monitoring measure of the farmland area according to the monitoring measure grade;
in this embodiment, if the first level of supervision measures is adopted, the supervision measures are: monitoring the farmland area every three days, wherein the punishment sum of the farmland area growers is N3;
if the grade is the second monitoring measure grade, the monitoring measure is as follows: monitoring the farmland area every week, wherein the punishment amount of growers in the farmland area is N2;
if the grade is the third monitoring measure grade, the monitoring measure is as follows: monitoring a farmland area every month, wherein the punishment sum of farmland area growers is N1, and the like, wherein N1, N2 and N3 are sum prices, N1 is more than N2 and less than N3, for example, N1 is 100 yuan, N2 is 200 yuan, and N3 is 500 yuan;
it should be specifically noted that the monitoring measures herein are only examples, and it is convenient to distinguish the monitoring strength of the first monitoring measure level, the second monitoring measure level, and the third monitoring measure level, where the monitoring strength of the first monitoring measure level is greater than the monitoring strength of the second monitoring measure level, and the monitoring strength of the second monitoring measure level is greater than the monitoring strength of the third monitoring measure level.
In another embodiment, please refer to fig. 2, and based on another concept of the same invention, a working method of a land monitoring and management system based on a satellite monitoring technology is provided, which comprises the following steps:
step S101, a management terminal inputs planting types of plants in a farmland area, growth stages corresponding to the plants and historical supervision data of the farmland area and sends the planting types and the growth stages to a server, the server sends the historical supervision data of the farmland area to a storage module, and the server sends the planting types of the plants in the farmland area and the growth stages corresponding to the plants to an intelligent comparison module;
step S102, a land delineation module delineates a farmland area according to historical supervision data, the number of times of illegal operation of the farmland area is obtained, then the illegal operation time of each illegal operation of the farmland area is obtained, time intervals of adjacent illegal operation times are calculated to obtain a plurality of groups of time intervals of the illegal operation, the time intervals of the illegal operation of the groups of time intervals are added and averaged to obtain the average time interval of the illegal operation of the farmland area, finally the soil loss and area loss of the farmland area are obtained, a land supervision value of the farmland area is calculated, the land supervision value is compared with a land supervision threshold value, the supervision level of the farmland area is judged to be a third supervision level, a second supervision level or a first supervision level, the land delineation module feeds the supervision level of the farmland area back to a server, the server sends the supervision level of the farmland area to a display module, the display module displays the farmland areas with different supervision levels, if the supervision level of the farmland area is the first supervision level, the farmland area is marked with red, if the supervision level of the farmland area is the second supervision level, the farmland area is marked with yellow supervision level, and the farmland area supervision level is marked with yellow, if the farmland supervision level is the first supervision level;
step S103, a server intelligently compares farmland regions according to the sequence of a first monitoring level, a second monitoring level and a third monitoring level, an internet module obtains preset land pictures of plants according to planting types and growth stages and sends the preset land pictures of the plants to an intelligent comparison module, a data acquisition module acquires real-time land pictures of the farmland regions and sends the real-time land pictures to the server, the server sends the real-time land pictures of the farmland regions to the intelligent comparison module, the intelligent comparison module intelligently compares the planting conditions of the farmland regions to acquire the preset land pictures and corresponding real-time land pictures of the farmland regions, the plants in the preset land pictures at the current growth stage are compared with the plants in the real-time land pictures, if the plants are matched, a comparison passing signal is generated, if the plants are not matched, a comparison failure signal is generated, the intelligent comparison passing signal or the comparison failure signal is fed back to the server by the intelligent comparison module, the server sends the comparison passing signal or the comparison failure signal to a management terminal, if the management terminal receives the comparison failure signal, the number of operations in the farmland regions is increased once, and if the management terminal does not receive any comparison passing signal;
step S104, when the server receives the comparison failure signal, the data acquisition module also acquires real-time land data of the farmland area, and sends the real-time land data to a server, the server sends the real-time land data to a land analysis module, analyzing the land condition of the illegal farmland area through a land analysis module to obtain the planting time of the current plants in the farmland area, then obtaining the daily market price of the current plant in the farmland area in the previous week, adding the daily market prices of the previous week, summing and averaging to obtain the average market price of the current plant in the farmland area, calculating the current planting value of the current plant in the farmland area in the planting time period, finally obtaining the planting time period of the plant in the farmland area input by the management terminal and the daily market price of the plant in the previous week input by the management terminal, multiplying the planting time period by the market price to obtain the input planting value of the plant in the planting time period input by the management terminal, if the current planting value is more than or equal to the input planting value, generating a value increasing signal, if the current planting value is less than the input planting value, subtracting the current planting value from the input planting value to obtain a planting value difference value of planting the current plant in the farmland area, meanwhile, the soil loss amount of the current plant in the farmland area within the planting time is obtained, the land loss value of the farmland area corresponding to the planted current plant is calculated, the generated value promoting signal or the land loss value of the farmland area corresponding to the planted current plant is fed back to the server by the land analysis module, if the server receives the value promoting signal, the value promoting signal is sent to the management terminal, and if the server receives the land loss value of the farmland area corresponding to the planted current plant, the server sends the land loss value to the supervision management module;
and S105, carrying out supervision management on a farmland area where the current plant is planted by the supervision management module according to the land loss value, comparing the land loss value with a land loss threshold value, judging that the supervision measure grade of the farmland area is a third supervision measure grade, a second supervision measure grade or a first supervision measure grade, feeding back the supervision measure grade of the farmland area to the server by the supervision management module, and setting the supervision measure of the farmland area by the server according to the supervision measure grade.
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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. A land supervision management system based on a satellite monitoring technology is characterized by comprising a data acquisition module, an intelligent comparison module, an internet module, a land delineation module, a storage module, a management terminal, a display module, a supervision management module, a land analysis module and a server;
the management terminal is used for inputting the planting type of the plants in the farmland area, the growth stage corresponding to the plants and historical supervision data of the farmland area;
the land delineation module is used for delineating the farmland region according to the historical supervision data to obtain the supervision grade of the farmland region;
the land delineation module comprises the following steps:
acquiring the number of illegal operations of a farmland area;
then, the violation operation time of each violation operation in the farmland area is obtained, the time interval of adjacent violation operation times is calculated to obtain a plurality of groups of violation operation interval durations, and the violation operation interval durations of the plurality of groups of violation operation intervals are added and averaged to obtain the violation operation interval average duration of the farmland area;
finally, acquiring the soil loss and the area loss of the farmland area;
calculating a land supervision value of the farmland area, comparing the land supervision value with a land supervision threshold value, and judging that the supervision grade of the farmland area is a third supervision grade, a second supervision grade or a first supervision grade;
the display module is used for displaying farmland areas with different monitoring levels;
the server intelligently compares the farmland areas according to the sequence of the first monitoring level, the second monitoring level and the third monitoring level;
the internet module is used for obtaining a preset land picture of the plant according to the planting type and the growth stage and sending the preset land picture to the intelligent comparison module;
the data acquisition module is used for acquiring a real-time soil map of a farmland area and sending the real-time soil map to the intelligent comparison module;
the intelligent comparison module is used for intelligently comparing the planting conditions of the farmland areas and generating comparison passing signals or comparison failure signals;
the intelligent comparison process of the intelligent comparison module is as follows:
acquiring a preset land picture of a farmland area and a corresponding real-time land picture;
comparing the plants in the current growth stage in the preset land picture with the plants in the real-time land picture;
if the plants are matched, generating a comparison passing signal, and if the plants are not matched, generating a comparison failure signal;
when generating a comparison failure signal;
the data acquisition module is used for acquiring real-time land data of a farmland area;
the land analysis module is used for analyzing the land condition of the illegal farmland area to obtain a value promotion signal or a land loss value of the farmland area corresponding to the current planted plants;
the analysis process of the land analysis module is as follows:
acquiring the planting time of the current plant in a farmland area;
then obtaining the market prices of the current plants in the farmland area every week, and adding and averaging the market prices of the current plants in the farmland area every week to obtain the market average price of the current plants in the farmland area;
calculating the current planting value of the current plant in the farmland area within the planting time;
finally, the planting time of the plants in the farmland area input by the management terminal and the market price of the plants input by the management terminal in the previous week and each day are obtained, and the input planting value of the plants input by the management terminal in the planting time is obtained by multiplying the planting time by the market price;
if the current planting value is greater than or equal to the input planting value, generating a value increasing signal;
if the current planting value is smaller than the input planting value, subtracting the current planting value from the input planting value to obtain a planting value difference value of the current plant planted in the farmland area, simultaneously obtaining the soil loss of the current plant in the farmland area within the planting time, and calculating the land loss value of the farmland area corresponding to the planted current plant;
the supervision management module is used for carrying out supervision management on the farmland area according to the land loss value to obtain the supervision measure grade of the farmland area;
and the server sets the supervision measures of the farmland area according to the supervision measure grades.
2. The land monitoring management system based on the satellite monitoring technology as claimed in claim 1, wherein the historical monitoring data includes the number of illegal operations in a farmland area, the illegal operation time in each illegal operation, the soil loss amount and the area loss amount of the farmland area;
the real-time land data comprises the planting time of the current plant in the farmland area, the market price of the current plant in the previous week every day and the soil loss of the previous week in the farmland area every day.
3. The land supervision and management system based on the satellite monitoring technology as claimed in claim 1, wherein the display module specifically displays the following steps:
if the supervision level of the farmland area is the first supervision level, marking the farmland area by adopting red;
if the supervision level of the farmland area is the second supervision level, marking the farmland area by adopting yellow;
and if the supervision grade of the farmland area is the third supervision grade, marking the farmland area by adopting green.
4. The land supervision and management system based on the satellite monitoring technology as claimed in claim 1, wherein the preset land picture and the real-time land picture are scaled to the same specification and the resolution and definition are kept consistent.
5. The land monitoring and management system based on the satellite monitoring technology as claimed in claim 1, wherein the server sends a comparison passing signal or a comparison failing signal to the management terminal, and if the management terminal receives the comparison failing signal, the number of illegal operations in the farmland area is increased once, and if the management terminal receives the comparison passing signal, no operation is performed.
6. The land monitoring management system based on the satellite monitoring technology as claimed in claim 1, wherein the working process of the monitoring management module is as follows:
and comparing the land loss value with a land loss threshold value, and judging that the monitoring measure grade of the farmland area is a third monitoring measure grade, a second monitoring measure grade or a first monitoring measure grade.
7. The land supervision and management system based on the satellite monitoring technology as claimed in claim 6, characterized in that the supervision measures are set as follows;
if the first monitoring measure grade is adopted, the monitoring measures are as follows: monitoring the farmland area every three days, wherein the punishment sum of the farmland area growers is N3;
if the grade is the second monitoring measure grade, the monitoring measure is as follows: monitoring the farmland area every week, wherein the punishment amount of the farmland area growers is N2;
if the grade is the third monitoring measure grade, the monitoring measure is as follows: monitoring the farmland area every month, wherein the punishment amount of the farmland area growers is N1; wherein, N1, N2 and N3 are sum prices, and N1 is more than N2 and less than N3.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211567911.3A CN115641010B (en) | 2022-12-08 | 2022-12-08 | Land supervision management system based on satellite monitoring technology |
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| CN202211567911.3A CN115641010B (en) | 2022-12-08 | 2022-12-08 | Land supervision management system based on satellite monitoring technology |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2015100386A4 (en) * | 2015-03-26 | 2015-05-07 | Timothy Francis Dowling | Conjunction system for real estate |
| CN106954385A (en) * | 2015-01-09 | 2017-07-14 | 日立麦克赛尔株式会社 | Plant information obtains system, plant information acquisition device, plant information adquisitiones, crop management system and crop management method |
| CN109104505A (en) * | 2018-10-25 | 2018-12-28 | 广州源贸易有限公司 | Agricultural land soil environment wisdom monitors system |
| WO2019173256A1 (en) * | 2018-03-06 | 2019-09-12 | Cnh Industrial America Llc | Sensor for detecting crop fill level within on-board storage of an agricultural harvester and related systems and methods |
| CN111945928A (en) * | 2020-06-15 | 2020-11-17 | 吴淑环 | Energy-saving heat-insulating wall and roof |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6882289B2 (en) * | 2001-06-11 | 2005-04-19 | Marvin A. Motsenbocker | Monitoring and control of watercraft propulsion efficiency |
| US6671698B2 (en) * | 2002-03-20 | 2003-12-30 | Deere & Company | Method and system for automated tracing of an agricultural product |
| US7761334B2 (en) * | 2002-03-20 | 2010-07-20 | Deere & Company | Method and system for automated tracing of an agricultural product |
| CN107767032B (en) * | 2017-09-27 | 2020-08-11 | 北京农业信息技术研究中心 | Farmland soil heavy metal pollution decision making system and method |
| EP3644267A1 (en) * | 2018-10-26 | 2020-04-29 | Tata Consultancy Services Limited | Method and system for online monitoring and optimization of mining and mineral processing operations |
| CN111931711B (en) * | 2020-09-17 | 2021-06-15 | 北京长隆讯飞科技有限公司 | Multi-source heterogeneous remote sensing big data processing method and device |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106954385A (en) * | 2015-01-09 | 2017-07-14 | 日立麦克赛尔株式会社 | Plant information obtains system, plant information acquisition device, plant information adquisitiones, crop management system and crop management method |
| AU2015100386A4 (en) * | 2015-03-26 | 2015-05-07 | Timothy Francis Dowling | Conjunction system for real estate |
| WO2019173256A1 (en) * | 2018-03-06 | 2019-09-12 | Cnh Industrial America Llc | Sensor for detecting crop fill level within on-board storage of an agricultural harvester and related systems and methods |
| CN109104505A (en) * | 2018-10-25 | 2018-12-28 | 广州源贸易有限公司 | Agricultural land soil environment wisdom monitors system |
| CN111945928A (en) * | 2020-06-15 | 2020-11-17 | 吴淑环 | Energy-saving heat-insulating wall and roof |
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