CN116091178B - Agricultural machinery sharing service big data platform based on Internet of things - Google Patents
Agricultural machinery sharing service big data platform based on Internet of things Download PDFInfo
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Abstract
The invention relates to the technical field of basic agricultural machinery sharing, in particular to an agricultural machinery sharing service big data platform based on the Internet of things. The system comprises a shared agricultural machine type planning module, a shared agricultural machine calling module and a shared agricultural machine route planning module. According to the invention, the working range of each shared agricultural machine is determined through the set shared agricultural machine type planning module, and the shared agricultural machine calling module calls the shared agricultural machine of the corresponding type closest to the response farmland to be processed according to the shared agricultural machine position near the response farmland to be processed and the type of the response farmland to be processed, so that the shared agricultural machine of the corresponding type is called for the farmland to be processed, and meanwhile, the optimal route is planned for the pre-configured agricultural machine, the adaptation effect of the pre-configured agricultural machine and the farmland to be processed is improved, the working efficiency of the pre-configured agricultural machine is improved, and the time blank period of the pre-configured agricultural machine is reduced.
Description
Technical Field
The invention relates to the technical field of basic agricultural machinery sharing, in particular to an agricultural machinery sharing service big data platform based on the Internet of things.
Background
Agricultural machinery refers to various mechanical equipment used in agricultural production. Such as: large and small tractors, land leveling machines, tillage plows, tillers, mini-tillers, rice transplants, sowers, threshers, water pumps, combine harvesters, roller blinds, insulation mats and the like
Publication number CN109035602A discloses an agricultural machinery sharing method and system, and relates to the technical field of Internet. The method is applied to an agricultural machine sharing system, the agricultural machine sharing system comprises an agricultural machine sharing server, a user terminal and a plurality of calibration terminals, and the method comprises the following steps: a plurality of calibration terminals acquire and transmit position information; the user terminal sends an agricultural machinery use request; the agricultural machinery sharing server obtains real-time position information of each agricultural machinery to be shared according to the received position information and the corresponding relation between each pre-stored calibration terminal and the equipment information of the agricultural machinery to be shared, and searches the agricultural machinery information matched with the agricultural machinery to be used in the agricultural machinery use request according to the real-time position information and the equipment information of each agricultural machinery to be shared, and if the agricultural machinery information matched with the agricultural machinery to be used in the agricultural machinery use request is found, the agricultural machinery information is used as response information of the agricultural machinery use request. By using the agricultural machinery sharing method and system, agricultural machinery sharing is realized.
The above scheme has the following defects:
in the process of calling the shared agricultural machinery, the types of farmlands adapted by the different types of shared agricultural machinery are different, and if the shared agricultural machinery is called only by means of position information, the adaptation effect is poor, so that the shared agricultural machinery generates a time idle period, the working efficiency of the pre-matched agricultural machinery is reduced, meanwhile, the scheme cannot reasonably plan a route, and a reciprocating route is easy to appear in the process of adapting the shared agricultural machinery.
In order to cope with the above problems, there is a need for an agricultural machinery sharing service big data platform based on the internet of things.
Disclosure of Invention
The invention aims to provide an agricultural machinery sharing service big data platform based on the Internet of things so as to solve the problems in the background technology.
In order to achieve the above purpose, the agricultural machinery sharing service big data platform based on the Internet of things is provided, and comprises a sharing agricultural machinery positioning module, a sharing agricultural machinery type planning module, a sharing agricultural machinery calling module, a sharing agricultural machinery route planning module and a farmland demand response module;
the shared agricultural machinery positioning module is used for positioning each shared agricultural machinery position and positioning a farmland to be processed in a shared agricultural machinery working area, providing route positioning information for shared agricultural machinery route planning, and determining route marking points;
the output end of the shared agricultural machinery positioning module is connected with the input end of the shared agricultural machinery type planning module, and the shared agricultural machinery type planning module is used for determining the working range of each shared agricultural machinery and classifying each shared agricultural machinery according to the working range of the shared agricultural machinery;
the farmland demand response module is used for responding to the farmland waiting information, determining the type of the waiting response farmland, and determining the shared agricultural machinery position nearby the current waiting farmland through the waiting response farmland positioning in the shared agricultural machinery working area provided by the shared agricultural machinery positioning module;
the output end of the shared agricultural machine type planning module is connected with the input end of the shared agricultural machine calling module, and the shared agricultural machine calling module calls the shared agricultural machine of the corresponding type closest to the response farmland to be processed according to the shared agricultural machine position near the current response farmland to be processed and the type of the response farmland to be processed, so as to generate a pre-configured agricultural machine;
the output end of the shared agricultural machinery calling module is connected with the input end of the shared agricultural machinery route planning module, and the shared agricultural machinery route planning module performs route planning on the pre-matched agricultural machinery according to the position of the pre-matched agricultural machinery and the position of the to-be-processed response farmland and combining route marking points.
As a further improvement of the technical scheme, the output end of the shared agricultural machine type planning module is connected with a shared agricultural machine efficiency analysis module, the output end of the shared agricultural machine efficiency analysis module is connected with the input end of the shared agricultural machine calling module, the output end of the shared agricultural machine efficiency analysis module is connected with a shared agricultural machine matching module, the shared agricultural machine matching module is in bidirectional connection with the farmland demand response module, the shared agricultural machine matching module is in bidirectional connection with the shared agricultural machine calling module, the shared agricultural machine efficiency analysis module is used for determining farmland work efficiency processed by the shared agricultural machine in advance, and the shared agricultural machine matching module is used for combining the farmland work efficiency processed by the shared agricultural machine in advance, judging the farmland work efficiency of the shared agricultural machine nearby the farmland to be processed and responding to the farmland, and matching the shared agricultural machine with the optimal farmland work efficiency.
As a further improvement of the technical scheme, the output end of the farmland demand response module is connected with a region data statistics module, and the region data statistics module is used for recording farmland types of all regions, shared agricultural machinery matched with farmland of all types and working efficiency of the matched shared agricultural machinery.
As a further improvement of the technical scheme, the output end of the shared agricultural machinery route planning module is connected with the input end of the regional data statistics module, and the regional data statistics module is used for classifying and storing different types of shared agricultural machinery route planning.
As a further improvement of the technical scheme, the shared agricultural machinery efficiency analysis module adopts a farmland structure calculation algorithm, and the algorithm formula is as follows:
；
；
wherein the method comprises the steps ofWork efficiency of various shared agricultural machinery for the same farmland, < ->Is the area occupied by regular farmland areas +.>Time spent processing regular areas of farmland for various shared agricultural machinery, +.>Treatment efficiency for treating irregular farmland areas for various shared agricultural machines +.>Adapt size for various shared agricultural machinery, +.>Is the area occupied by irregular farmland area +.>The number exists for irregular farmland areas.
As a further improvement of the technical scheme, the shared agricultural machinery type planning module comprises a working farmland type recording unit, wherein the working farmland type recording unit is used for recording the working farmland type which is processed by the shared agricultural machinery in advance, the output end of the working farmland type recording unit is connected with a shared agricultural machinery adaptation planning unit, and the shared agricultural machinery adaptation planning unit plans the working farmland type with the highest working efficiency of the shared agricultural machinery according to the working farmland type which is processed by the shared agricultural machinery in advance in combination with each working efficiency.
As a further improvement of the technical scheme, the output end of the shared agricultural machinery adaptation planning unit is connected with a shared agricultural machinery size classification unit, and the shared agricultural machinery size classification unit determines the farmland size of each shared agricultural machinery adaptation by combining the past working experience of the shared agricultural machinery.
As a further improvement of the technical scheme, the shared agricultural machinery route planning module comprises a route passing farmland marking unit, wherein the route passing farmland marking unit is used for recording that the shared agricultural machinery passes through each farmland and carrying out geographic marking on the passing farmland, the output end of the route passing farmland marking unit is connected with a reciprocating route marking unit, and the reciprocating route marking unit determines a shared agricultural machinery working route according to the passing farmland after geographic marking and marks a reciprocating route therefrom.
As a further improvement of the technical scheme, the output end of the reciprocating route marking unit is connected with a route re-planning unit, and the route re-planning unit is used for carrying out route re-planning of the same area by combining the marked reciprocating route.
As a further improvement of the technical scheme, the regional data statistics module comprises a farmland type statistics unit, wherein the farmland type statistics unit is used for counting farmland type information of the same area, the output end of the farmland type statistics unit is connected with a shared agricultural machine route statistics unit, the shared agricultural machine route statistics unit is used for counting shared agricultural machine routes of different time periods, the output end of the shared agricultural machine route statistics unit is connected with a work efficiency recording unit, and the work efficiency recording unit is used for counting work efficiency of different shared agricultural machines.
Compared with the prior art, the invention has the beneficial effects that:
1. in the agricultural machinery sharing service big data platform based on the Internet of things, the working range of each shared agricultural machinery is determined through the set shared agricultural machinery type planning module, the shared agricultural machinery calling module calls the shared agricultural machinery of the corresponding type closest to the response farmland to be processed according to the shared agricultural machinery position near the response farmland to be processed and the type of the response farmland to be processed, and the shared agricultural machinery of the corresponding type is called for the farmland to be processed, meanwhile, the most suitable route is planned for the pre-configured agricultural machinery, the adaptation effect of the pre-configured agricultural machinery and the farmland to be processed is improved, the working efficiency of the pre-configured agricultural machinery is improved, and the time idle period of the pre-configured agricultural machinery is reduced.
Drawings
FIG. 1 is a schematic diagram of the overall structure of the present invention;
FIG. 2 is a schematic diagram of a shared agricultural machinery type planning module architecture of the present invention;
FIG. 3 is a schematic diagram of a shared agricultural machine route planning module according to the present disclosure;
fig. 4 is a schematic structural diagram of a regional data statistics module according to the present invention.
The meaning of each reference sign in the figure is:
10. sharing an agricultural machinery positioning module;
20. sharing an agricultural machine type planning module; 210. a working farmland type recording unit; 220. sharing an agricultural machinery adaptation planning unit; 230. sharing an agricultural machinery size classification unit;
30. sharing an agricultural machinery calling module;
40. sharing an agricultural machine route planning module; 410. the route passes through the farmland marking unit; 420. a reciprocating route marking unit; 430. a route re-planning unit;
50. a farmland demand response module;
60. sharing an agricultural machinery matching module;
70. sharing an agricultural efficiency analysis module;
80. a regional data statistics module; 810. a farmland type statistics unit; 820. a shared agricultural machinery route statistics unit; 830. and a work efficiency recording unit.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-4, an agricultural machinery sharing service big data platform based on the internet of things is provided, which comprises a sharing agricultural machinery positioning module 10, a sharing agricultural machinery type planning module 20, a sharing agricultural machinery calling module 30, a sharing agricultural machinery route planning module 40 and a farmland demand response module 50;
the shared agricultural machinery positioning module 10 is used for positioning each shared agricultural machinery position and positioning a farmland to be processed in a shared agricultural machinery working area, providing route positioning information for shared agricultural machinery route planning, and determining route marking points;
the output end of the shared agricultural machinery positioning module 10 is connected with the input end of the shared agricultural machinery type planning module 20, and the shared agricultural machinery type planning module 20 is used for determining the working range of each shared agricultural machinery and classifying each shared agricultural machinery according to the working range of the shared agricultural machinery;
the farmland demand response module 50 is configured to respond to the information to be processed of each farmland, determine the type of the response farmland to be processed, and determine the shared agricultural machinery position near the current farmland to be processed through the positioning of the response farmland to be processed in the shared agricultural machinery working area provided by the shared agricultural machinery positioning module 10;
the output end of the shared agricultural machinery type planning module 20 is connected with the input end of the shared agricultural machinery calling module 30, and the shared agricultural machinery calling module 30 calls the shared agricultural machinery of the corresponding type closest to the response farmland to be processed according to the shared agricultural machinery position near the current response farmland to be processed and the type of the response farmland to be processed, so as to generate a pre-configured agricultural machinery;
the output end of the shared agricultural machinery calling module 30 is connected with the input end of the shared agricultural machinery route planning module 40, and the shared agricultural machinery route planning module 40 performs route planning on the pre-matched agricultural machinery according to the position of the pre-matched agricultural machinery and the position of the farmland to be processed in response to the position of the pre-matched agricultural machinery and combining route marking points.
In particular use, the shared agricultural machine positioning module 10 positions the respective shared agricultural machines and positions the respective farmlands to be processed in the shared agricultural machine work area, simultaneously provides route positioning information for the shared agricultural machine route planning, determines route marking points, such as route labels, then the shared agricultural machine type planning module 20 determines the working ranges of the respective shared agricultural machines, classifies the respective shared agricultural machines, such as different farm crops, according to the working ranges of the shared agricultural machines, the required shared agricultural machine types are different, the farmland demand response module 50 responds to the respective farmland to-be-processed information, determines the types of the response farmlands to be processed, and determines the shared agricultural machine positions near the current to-be-processed farmland by the response farmland positioning of the response farmlands to be processed in the shared agricultural machine work area provided by the shared agricultural machine positioning module 10, that is, when the farm crop is mature, the farm demand response module 50 provides a response window to the farm owner, the farm owner provides the geographical position of the farm to be processed to the system through the response window, then the system determines the shared agricultural machinery position near the farm to be processed according to the geographical position of the farm to be processed, the shared agricultural machinery calling module 30 calls the shared agricultural machinery of the corresponding type closest to the farm to be processed according to the shared agricultural machinery position near the farm to be processed and the type of the farm to be processed, a pre-configured agricultural machinery is generated, the shared agricultural machinery route planning module 40 performs route planning on the pre-configured agricultural machinery according to the position of the pre-configured agricultural machinery and the position of the farm to be processed according to the route marking point, namely, the pre-configured agricultural machinery works to the farm to be processed according to the route planning.
According to the invention, the shared agricultural machinery calling module 30 calls the shared agricultural machinery of the corresponding type closest to the response farmland to be processed according to the shared agricultural machinery position near the response farmland to be processed and the type of the response farmland to be processed, and calls the shared agricultural machinery of the corresponding type to the farmland to be processed, and simultaneously plans the most suitable route for the pre-configured agricultural machinery, thereby improving the adaptation effect of the pre-configured agricultural machinery and the farmland to be processed, increasing the working efficiency of the pre-configured agricultural machinery and reducing the time idle period of the pre-configured agricultural machinery.
In addition, the output end of the shared agricultural machine type planning module 20 is connected with a shared agricultural machine efficiency analysis module 70, the output end of the shared agricultural machine efficiency analysis module 70 is connected with the input end of the shared agricultural machine calling module 30, the output end of the shared agricultural machine efficiency analysis module 70 is connected with a shared agricultural machine matching module 60, the shared agricultural machine matching module 60 is in bidirectional connection with the farmland demand response module 50, the shared agricultural machine matching module 60 is in bidirectional connection with the shared agricultural machine calling module 30, the shared agricultural machine efficiency analysis module 70 is used for determining the farmland work efficiency which is processed by the shared agricultural machine previously, the shared agricultural machine matching module 60 is used for combining the farmland work efficiency which is processed by the shared agricultural machine previously, and the shared agricultural machine near the farmland to be processed response is subjected to farmland work efficiency evaluation, and the shared agricultural machine with the optimal farmland work efficiency is matched. In specific use, the shared agricultural efficiency analysis module 70 determines the previously processed agricultural efficiency of the shared agricultural machine, that is, the time it takes for the shared agricultural machine to process the same type of unit time, marks the agricultural efficiency of each shared agricultural machine, then the shared agricultural machine matching module 60 performs the agricultural efficiency evaluation on the shared agricultural machine near the response farmland to be processed in combination with the previously processed agricultural efficiency of the shared agricultural machine, matches the shared agricultural machine with the optimal agricultural efficiency, and, because the farmland range of some areas is wider, the number of required shared agricultural machines is larger, the same type of shared agricultural machine near the same response farmland has a smaller distance from the farmland to be processed, and at this time, the shared agricultural machine with the optimal agricultural efficiency is selected as the matched shared agricultural machine.
Further, the output end of the farmland demand response module 50 is connected with a region data statistics module 80, the region data statistics module 80 is used for recording farmland types of all regions, shared agricultural machinery matched with all types of farmlands and working efficiency of the matched shared agricultural machinery, when the farmland demand response module 50 responds to information to be processed of all farmlands, after determining that the types of the response farmlands to be processed belong to, the region data statistics module 80 records first farmland types of all regions and the shared agricultural machinery matched with all types of farmlands, after the matching of the shared agricultural machinery is completed, the working efficiency of all matched shared agricultural machinery is recorded through the region data statistics module 80, so that region farmlands and each item of data planning statistics of the shared agricultural machinery are formed for later data reference, and therefore efficiency judgment is carried out on all the shared agricultural machinery, regional sharing agricultural machinery planning is carried out in the coming year, and the adaptation effect of farmlands and shared agricultural machinery of the whole region is improved.
Still further, the output end of the shared agricultural machine route planning module 40 is connected with the input end of the regional data statistics module 80, the regional data statistics module 80 is used for classifying and storing different types of shared agricultural machine route plans, the shared agricultural machine route planning module 40 performs route planning on the pre-configured agricultural machines according to the position of the pre-configured agricultural machines and the position of a to-be-processed response farmland, the route planning in the working process of each pre-configured agricultural machine is transmitted to the regional data statistics module 80 by combining route marking points, the regional data statistics module 80 classifies and stores different types of shared agricultural machine route plans, records routes of the shared agricultural machines in different time periods in the same region, combines the routes of the shared agricultural machines in different time periods, plans an adaptive route, reduces repeated routes and the generation of reciprocating routes, and improves the running efficiency of the shared agricultural machines.
Specifically, the shared agricultural efficiency analysis module 70 employs a farm structure calculation algorithm, whose algorithm formula is as follows:
；
；
wherein the method comprises the steps ofWork efficiency for various shared agricultural machinery in same farmland，/>Is the area occupied by regular farmland areas +.>Time spent processing regular areas of farmland for various shared agricultural machinery, +.>Treatment efficiency for treating irregular farmland areas for various shared agricultural machines +.>Adapt size for various shared agricultural machinery, +.>Is the area occupied by irregular farmland area +.>In the specific calculation process, as the adaptation sizes of all shared agricultural machines are different, for example, the cutting size of an A agricultural machine is 2m, the cutting size of a B agricultural machine is 5m, the regular area of a certain farmland is 20mX20m, an irregular area exists at the edge position of the farmland, the area of the irregular area is 4mX4m, the B agricultural machine with the cutting size of 5m has higher farmland efficiency in the cutting regular area, but the farmland in the irregular area is over-sized and cannot pass, edge cutting can only be carried out, namely, the farmland in the irregular area is processed by utilizing the edge position suspension area of the B agricultural machine, and the farmland processing work of the irregular area can be completed by cutting on two sides, so that the cutting size of the A agricultural machine with the size of 2m is not only related to the cutting size of the shared agricultural machine, but also related to the farmland regularity in the working efficiency process of each shared agricultural machine.
In addition, the shared agricultural machine type planning module 20 includes a working agricultural machine type recording unit 210, where the working agricultural machine type recording unit 210 is configured to record a working agricultural machine type that has been processed by the shared agricultural machine, the output end of the working agricultural machine type recording unit 210 is connected with a shared agricultural machine adaptation planning unit 220, the shared agricultural machine adaptation planning unit 220 plans a working agricultural machine type with the highest working efficiency of the shared agricultural machine from the working agricultural machine type according to the working agricultural machine type that has been processed by the shared agricultural machine, records the working agricultural machine type that has been processed by the shared agricultural machine, and combines the working efficiency to plan the working agricultural machine type with the highest working efficiency of the shared agricultural machine from the working agricultural machine type that has been processed by the shared agricultural machine type recording unit 210, so as to perform matching reference in the later stage, and reduce the secondary calculation time.
Because the farmlands of the shared agricultural machinery adaptation with different cutting sizes are different, in the process of carrying out farmland adaptation and sharing the agricultural machinery, the adaptation size of the shared agricultural machinery needs to be considered, further, the output end of the shared agricultural machinery adaptation planning unit 220 is connected with the shared agricultural machinery size classification unit 230, the shared agricultural machinery size classification unit 230 combines the past working experience of the shared agricultural machinery, the farmland size of each shared agricultural machinery adaptation is determined, and the adaptation efficiency of each type of shared agricultural machinery is improved by combining the past working experience of the shared agricultural machinery through the shared agricultural machinery size classification unit 230.
Still further, the shared agricultural machine route planning module 40 includes a route passing farmland marking unit 410, the route passing farmland marking unit 410 is used for recording that the shared agricultural machine passes through each farmland and geotags the passing farmland, the output end of the route passing farmland marking unit 410 is connected with a reciprocating route marking unit 420, the reciprocating route marking unit 420 determines the shared agricultural machine working route according to the geotagged passing farmland, marks the reciprocating route therefrom, firstly records that the shared agricultural machine passes through each farmland through the route passing farmland marking unit 410 and geotags the passing farmland, namely the farmland treated by the shared farmland, then the reciprocating route marking unit 420 determines the shared agricultural machine working route according to the geotagged passing farmland, and marks the reciprocating route therefrom, namely the same route passed in the process of sharing the farmland treated by the shared farmland, for route planning in later period.
In addition, the output end of the reciprocating route marking unit 420 is connected with a route re-planning unit 430, and the route re-planning unit 430 is used for carrying out route re-planning of the same area in combination with the marked reciprocating route, when the reciprocating route marking unit 420 determines a shared agricultural machine working route according to the passing farmland after the geographic marking, after the reciprocating route is marked therefrom, the route re-planning unit 430 carries out route re-planning of the same area in combination with the marked reciprocating route, namely when the shared agricultural machine re-processes the farmland of the area, the route of the shared agricultural machine can be re-planned according to the farmland information processed previously, and the reciprocating route is avoided.
In addition, the regional data statistics module 80 includes a farmland type statistics unit 810, the farmland type statistics unit 810 is used for counting farmland type information of the same area, an output end of the farmland type statistics unit 810 is connected with a shared agricultural machine route statistics unit 820, the shared agricultural machine route statistics unit 820 is used for counting shared agricultural machine routes of different time periods, an output end of the shared agricultural machine route statistics unit 820 is connected with a work efficiency recording unit 830, and the work efficiency recording unit 830 is used for counting work efficiencies of different shared agricultural machines. In specific use, firstly, farmland type information of the same area, namely farmland crop types, is counted by the farmland type counting unit 810, shared agricultural machine routes in different time periods are counted by the shared agricultural machine route counting unit 820 for later route planning reference, and the work efficiency of different shared agricultural machines is counted by the work efficiency recording unit 830, so that a proper shared agricultural machine is adapted for each farmland type.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. Agricultural machinery sharing service big data platform based on thing networking, its characterized in that: the system comprises a shared agricultural machinery positioning module (10), a shared agricultural machinery type planning module (20), a shared agricultural machinery calling module (30), a shared agricultural machinery route planning module (40) and a farmland demand response module (50);
the shared agricultural machinery positioning module (10) is used for positioning the positions of the shared agricultural machinery and the farmland to be processed in the shared agricultural machinery working area, providing route positioning information for the shared agricultural machinery route planning and determining route marking points;
the output end of the shared agricultural machinery positioning module (10) is connected with the input end of the shared agricultural machinery type planning module (20), the shared agricultural machinery type planning module (20) is used for determining the working range of each shared agricultural machinery, and classifying the shared agricultural machinery according to the working range of the shared agricultural machinery;
the farmland demand response module (50) is used for responding to the farmland waiting information, determining the type of the waiting responding farmland, and determining the shared agricultural machinery position nearby the current waiting farmland through the waiting responding farmland positioning in the shared agricultural machinery working area provided by the shared agricultural machinery positioning module (10);
the output end of the shared agricultural machine type planning module (20) is connected with the input end of the shared agricultural machine calling module (30), and the shared agricultural machine calling module (30) calls the shared agricultural machine of the corresponding type closest to the response farmland to be processed according to the shared agricultural machine position near the current response farmland to be processed and the type of the response farmland to be processed, so as to generate a pre-configured agricultural machine;
the output end of the shared agricultural machinery calling module (30) is connected with the input end of the shared agricultural machinery route planning module (40), and the shared agricultural machinery route planning module (40) performs route planning on the pre-matched agricultural machinery according to the position of the pre-matched agricultural machinery and the position of a farmland to be processed in response and combining route marking points;
the system comprises a shared agricultural machine type planning module (20), a shared agricultural machine efficiency analysis module (70), a shared agricultural machine calling module (30), a shared agricultural machine matching module (60) and a farmland demand response module (50), wherein the output end of the shared agricultural machine type planning module (20) is connected with the shared agricultural machine efficiency analysis module (70), the output end of the shared agricultural machine efficiency analysis module (70) is connected with the input end of the shared agricultural machine calling module (30), the output end of the shared agricultural machine matching module (70) is connected with the shared agricultural machine matching module (60), the shared agricultural machine matching module (60) is connected with the shared agricultural machine calling module (30) in a bidirectional manner, the shared agricultural machine matching module (70) is used for determining the farmland work efficiency which is processed by the shared agricultural machine previously, the shared agricultural machine near the farmland to be processed is used for judging the farmland work efficiency, and the shared agricultural machine near the farmland to be processed is matched with the best farmland work efficiency;
the shared agricultural machinery efficiency analysis module (70) adopts a farmland structure calculation algorithm, and the algorithm formula is as follows:
；
；
wherein the method comprises the steps ofWork efficiency of various shared agricultural machinery for the same farmland, < ->Is the area occupied by regular farmland areas +.>Time spent processing regular areas of farmland for various shared agricultural machinery, +.>For various sharesTreatment efficiency of agricultural machinery for treating irregular farmland areas, < ->Adapt size for various shared agricultural machinery, +.>Is the area occupied by irregular farmland area +.>The number exists for irregular farmland areas.
2. The internet of things-based agricultural machinery sharing service big data platform of claim 1, wherein: the farmland demand response module (50) output end is connected with region data statistics module (80), region data statistics module (80) are used for recording farmland types of each region, shared agricultural machinery matched with each type of farmland and matched shared agricultural machinery work efficiency.
3. The internet of things-based agricultural machinery sharing service big data platform of claim 2, wherein: the output end of the shared agricultural machine route planning module (40) is connected with the input end of the regional data statistics module (80), and the regional data statistics module (80) is used for classifying and storing different types of shared agricultural machine route plans.
4. The internet of things-based agricultural machinery sharing service big data platform of claim 1, wherein: the shared agricultural machine type planning module (20) comprises a working farmland type recording unit (210), wherein the working farmland type recording unit (210) is used for recording the working farmland type which is processed by the shared agricultural machine in advance, the output end of the working farmland type recording unit (210) is connected with a shared agricultural machine adaptation planning unit (220), and the shared agricultural machine adaptation planning unit (220) plans the working farmland type with the highest working efficiency according to the working farmland type which is processed by the shared agricultural machine in advance by combining with each working efficiency.
5. The internet of things-based agricultural machinery sharing service big data platform of claim 4, wherein: the output end of the shared agricultural machinery adaptation planning unit (220) is connected with a shared agricultural machinery size classification unit (230), and the shared agricultural machinery size classification unit (230) determines the farmland size of each shared agricultural machinery adaptation by combining the previous working experience of the shared agricultural machinery.
6. The internet of things-based agricultural machinery sharing service big data platform of claim 1, wherein: the shared agricultural machinery route planning module (40) comprises a route passing farmland marking unit (410), the route passing farmland marking unit (410) is used for recording that the shared agricultural machinery passes through each farmland and carrying out geographic marking on the passing farmland, the output end of the route passing farmland marking unit (410) is connected with a reciprocating route marking unit (420), and the reciprocating route marking unit (420) determines a shared agricultural machinery working route according to the passing farmland after geographic marking, and marks a reciprocating route.
7. The internet of things-based agricultural machinery sharing service big data platform of claim 6, wherein: the output end of the reciprocating route marking unit (420) is connected with a route re-planning unit (430), and the route re-planning unit (430) is used for carrying out route re-planning of the same area in combination with the marked reciprocating route.
8. The internet of things-based agricultural machinery sharing service big data platform of claim 3, wherein: the regional data statistics module (80) comprises a farmland type statistics unit (810), the farmland type statistics unit (810) is used for counting farmland type information of the same area, the output end of the farmland type statistics unit (810) is connected with a shared agricultural machine route statistics unit (820), the shared agricultural machine route statistics unit (820) is used for counting shared agricultural machine routes of different time periods, the output end of the shared agricultural machine route statistics unit (820) is connected with a work efficiency recording unit (830), and the work efficiency recording unit (830) is used for counting work efficiency of different shared agricultural machines.
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