CN114091896A - Agricultural machinery running state analysis method - Google Patents
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Abstract
The invention relates to the technical field of agricultural machinery, and particularly discloses an agricultural machinery running state analysis method. The method comprises the steps of obtaining performance data of the agricultural machinery and regional position data of a working region; performing work planning to generate work planning information; planning a demonstration area to obtain a demonstration planning area; acquiring initial working data generated when the agricultural machinery performs pre-working in a demonstration planning area, and constructing an agricultural machinery running state model; and importing real-time working data of the agricultural machine into the agricultural machine running state model, and outputting the agricultural machine running state. The agricultural machinery operation state model is constructed through data obtained in the demonstration planning, operation analysis is carried out on real-time operation of the agricultural machinery according to the agricultural machinery operation state model, the operation state of the agricultural machinery can be accurately and timely obtained in a complex working environment, and operation abnormity and faults of the agricultural machinery can be conveniently and timely found.
Description
Technical Field
The invention belongs to the technical field of agricultural machinery, and particularly relates to an agricultural machinery running state analysis method.
Background
Agricultural machinery, agricultural machinery for short, refers to various machines used in the production process of crop planting and animal husbandry, and in the primary processing and treatment process of agricultural and livestock products. Agricultural machinery includes agricultural power machinery, farmland construction machinery, soil farming machinery, planting and fertilizing machinery, plant protection machinery, farmland irrigation and drainage machinery, crop harvesting machinery, agricultural product processing machinery, animal husbandry machinery, agricultural transportation machinery and the like.
In the working process of the existing agricultural machine, due to the particularity of the working environment of the agricultural machine, the sensor can not be adopted to accurately and timely acquire the operation and environment data of the agricultural machine, so that the operation state of the agricultural machine can not be remotely and accurately acquired, the operation abnormity and fault of the agricultural machine can not be timely found, and the remote operation adjustment of the agricultural machine is inconvenient.
Disclosure of Invention
The invention aims to provide an agricultural machinery running state analysis method, and aims to solve the problems in the background technology.
One aspect of the invention provides an agricultural machinery operating state analysis method, which specifically comprises the following steps:
acquiring performance data of the agricultural machinery and regional position data of a working region; wherein the performance data includes oil reserve, fuel consumption for movement, and fuel consumption for operation; the region location data comprises boundary location data of the work region;
performing work planning according to the performance data and the region position data to generate work planning information;
performing demonstration plot planning according to the performance data and the region position data to obtain a demonstration planning plot;
acquiring initial working data generated when the agricultural machinery performs pre-working in the demonstration planning area, and constructing an agricultural machinery running state model according to the initial working data;
acquiring real-time working data of the agricultural machinery during working according to the working planning information;
and importing the real-time working data into the agricultural machinery running state model, and outputting the agricultural machinery running state under the real-time working data.
As a further limitation of the technical solution of the present invention, the acquiring performance data of the agricultural machinery and the regional position data of the working region specifically includes the following steps:
acquiring performance data of the agricultural machine;
obtaining the region selection of a working region;
and generating region position data of the working region according to the region selection.
As a further limitation of the technical solution of the present invention, the performing a work plan according to the performance data and the area location data, and generating work plan information specifically includes the following steps:
performing route planning according to the area position data to generate route planning information;
performing travel planning according to the performance data and the route planning information to generate travel planning information;
and generating work planning information according to the route planning information and the travel planning information.
As a further limitation of the technical solution of the present invention, the performing route planning according to the area location data and generating route planning information specifically includes the following steps:
performing working area projection according to the area position data to generate a working projection area;
performing density separation on the working projection area to generate a projection separation area;
and planning a route according to the projection separation area to generate route planning information.
As a further limitation of the technical solution of the present invention, the planning of the demonstration parcel according to the performance data and the area position data to obtain the demonstration plan parcel specifically includes the following steps:
according to the travel planning information, acquiring travel area of two working travels of the agricultural machinery;
and selecting a demonstration area according to the area position data and the travel area to obtain a demonstration planning area.
As a further limitation of the technical solution of the present invention, the obtaining of initial working data generated when the agricultural machinery performs pre-working in the demonstration plan area and the building of the agricultural machinery running state model according to the initial working data specifically include the following steps:
acquiring initial working data generated when the agricultural machinery performs pre-working in the demonstration planning area;
randomly dividing initial working data into a training set and a testing set;
and carrying out model training and testing according to the training set and the testing set to generate an agricultural machinery running state model.
As a further limitation of the technical solution of the present invention, the acquiring of the initial working data generated when the agricultural machinery performs the preliminary work in the demonstration plan area specifically includes the following steps:
acquiring pre-working positioning data when the agricultural machinery performs pre-working in the demonstration planning area;
generating pre-working track data of the agricultural machinery according to the pre-working positioning data;
acquiring monitoring data of a pre-working unmanned aerial vehicle when the agricultural machinery performs pre-working in the demonstration planning area;
and generating initial working data according to the pre-working track data and the pre-working unmanned aerial vehicle monitoring data.
As a further limitation of the technical solution of the present invention, the acquiring real-time working data of the agricultural machinery when working according to the working planning information specifically includes the following steps:
acquiring real-time positioning data of the agricultural machinery during working according to the working planning information;
generating real-time track data of the agricultural machinery according to the real-time positioning data;
acquiring real-time unmanned aerial vehicle monitoring data when the agricultural machinery works according to the work planning information;
and generating real-time working data according to the real-time track data and the real-time unmanned aerial vehicle monitoring data.
Another object of the present invention is to provide a computer apparatus/mobile terminal, comprising:
a memory for storing a computer program;
and the processor is used for executing the computer program in the memory so as to realize the operation steps of the agricultural machinery running state analysis method.
Another object of the present invention is to provide a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the operational steps of the agricultural machinery operating state analyzing method.
Compared with the prior art, the invention has the beneficial effects that:
the method comprises the steps of obtaining performance data of the agricultural machinery and regional position data of a working region; performing work planning to generate work planning information; planning a demonstration area to obtain a demonstration planning area; acquiring initial working data generated when the agricultural machinery performs pre-working in a demonstration planning area, and constructing an agricultural machinery running state model; and importing real-time working data of the agricultural machine into the agricultural machine running state model, and outputting the agricultural machine running state. The agricultural machinery operation state model is constructed through data obtained in the demonstration planning, operation analysis is carried out on real-time operation of the agricultural machinery according to the agricultural machinery operation state model, the operation state of the agricultural machinery can be accurately and timely obtained in a complex working environment, and operation abnormity and faults of the agricultural machinery can be conveniently and timely found.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Fig. 2 shows a flowchart for constructing a communication load data analysis platform in the method provided by the embodiment of the invention.
Fig. 3 shows a flowchart of generating work plan information in the method provided by the embodiment of the present invention.
Fig. 4 shows a flowchart of generating route planning information in the method provided by the embodiment of the present invention.
Fig. 5 shows a flowchart illustrating a parcel planning in a method provided by an embodiment of the present invention.
FIG. 6 is a flow chart showing the construction of an agricultural machinery operating state model in the method provided by the embodiment of the invention.
Fig. 7 shows a flowchart of initial working data acquisition in the method provided by the embodiment of the present invention.
Fig. 8 shows a flowchart of real-time working data acquisition in the method provided by the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It can be understood that, in the prior art, in the working process of the agricultural machine, due to the particularity of the working environment of the agricultural machine, the sensor cannot be adopted to accurately and timely acquire the operation and environment data of the agricultural machine, so that the operation state of the agricultural machine cannot be remotely and accurately acquired, the operation abnormality and the fault of the agricultural machine cannot be timely found, and the remote operation adjustment of the agricultural machine is inconvenient.
In order to solve the problems, the embodiment of the invention obtains the performance data of the agricultural machinery and the regional position data of the working region; performing work planning to generate work planning information; planning a demonstration area to obtain a demonstration planning area; acquiring initial working data generated when the agricultural machinery performs pre-working in a demonstration planning area, and constructing an agricultural machinery running state model; and importing real-time working data of the agricultural machine into the agricultural machine running state model, and outputting the agricultural machine running state. The agricultural machinery operation state model is constructed through data obtained in the demonstration planning, operation analysis is carried out on real-time operation of the agricultural machinery according to the agricultural machinery operation state model, the operation state of the agricultural machinery can be accurately and timely obtained in a complex working environment, and operation abnormity and faults of the agricultural machinery can be conveniently and timely found.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Specifically, the method for analyzing the running state of the agricultural machine specifically comprises the following steps:
and step S101, acquiring performance data of the agricultural machinery and regional position data of a working region.
In the embodiment of the invention, the performance data of the agricultural machinery and the regional position data of the working region to be worked are acquired. Specifically, the performance data includes oil storage, fuel consumption of movement, fuel consumption of operation, and the like; the area position data may be boundary position data of the work area.
Specifically, fig. 2 shows a flowchart for constructing a communication load data analysis platform in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the acquiring performance data of the agricultural machine and the area location data of the working area specifically includes the following steps:
step S1011, performance data of the agricultural machinery is obtained.
In the embodiment of the invention, the performance data of the agricultural machine transmitted by wireless transmission, including the oil storage capacity, the mobile oil consumption rate, the working oil consumption rate and the like, is received by wirelessly connecting the agricultural machine. The wireless connection comprises wireless connection modes such as Bluetooth, telecommunication network and the like.
In step S1012, the area selection of the work area is acquired.
In the embodiment of the invention, the staff can select the working area on the control screen to obtain the area selection.
It can be understood that, in the agricultural work process, according to the position and the size of the farmland, the farmland is divided into different position blocks in the online map of the control screen, and the staff can select the blocks of the work area in the online map of the control screen to generate the area selection.
Step S1013 generates region position data of the work region according to the region selection.
According to the area selection, the boundary of the working area is positioned, and the area position data of the working area is generated.
Further, the method for analyzing the operating state of the agricultural machine further comprises the following steps:
and S102, performing work planning according to the performance data and the region position data to generate work planning information.
In the embodiment of the invention, the work of the agricultural machinery in the working area is planned according to the performance data of the agricultural machinery and the area position data of the working area, and the method specifically comprises the steps of planning the travel of the agricultural machinery in the working area and planning the route of the agricultural machinery in the working area, and generating the work planning information.
Specifically, fig. 3 shows a flowchart of generating work plan information in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the performing work planning according to the performance data and the area location data, and generating work planning information specifically includes the following steps:
and step S1021, performing route planning according to the area position data, and generating route planning information.
In the embodiment of the invention, the route of agricultural machinery work is planned based on the regional position data of the work region, and route planning information is generated.
Specifically, fig. 4 shows a flowchart of generating route planning information in the method provided by the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the performing route planning according to the area location data and generating route planning information specifically includes the following steps:
step S10211, performing work area projection according to the area position data, and generating a work projection area.
In the embodiment of the invention, after the area position data is determined, the working area contained in the inner periphery of the area position data is projected according to the area position data to generate the working projection area, so that preparation is made for density separation. Wherein, the area of the working projection area is the area of the working area.
Step S10212, density-dividing the working projection region to generate a projection-divided region.
In the embodiment of the invention, the working projection areas are subjected to density separation according to the size of the agricultural machine to generate the projection separation areas, and the width of each separation strip in the projection separation areas is consistent with the width of the agricultural machine, so that when the agricultural machine for agricultural harvesting works, the agricultural machine can be ensured to finish harvesting all the working areas when working along the projection separation areas.
Step S10213, performing route planning according to the projection partition area, and generating route planning information.
In the embodiment of the invention, the working route of the agricultural machinery is planned based on the projection separation area, and route planning information is generated.
Further, the performing work planning according to the performance data and the area location data, and generating work planning information further includes the following steps:
step S1022, perform route planning according to the performance data and the route planning information, and generate route planning information.
In the embodiment of the invention, the travel of the agricultural machinery is planned based on the performance data of the agricultural machinery and the route planning information, and the travel planning information is generated. Specifically, the journey planning information may be a route prediction for the agricultural machine to continuously work when the agricultural machine is filled with oil once, and the journey planning information is provided with a planned position for the agricultural machine to refuel and rest between two journeys.
And step S1023, generating work planning information according to the route planning information and the travel planning information.
In the embodiment of the invention, the work planning information of the agricultural machinery is generated by combining the route planning information and the journey planning information, so that the agricultural machinery is guided to carry out agricultural work through the work planning information.
Further, the method for analyzing the operating state of the agricultural machine further comprises the following steps:
and S103, planning a demonstration plot according to the performance data and the area position data to obtain a demonstration planning plot.
In the embodiment of the invention, the demonstration planning parcel is selected in the working area according to the performance data of the agricultural machine and the area position data of the working area, so that the selected demonstration planning parcel can ensure the parcel area required by the distance of the agricultural machine in two driving cycles, and the agricultural machine can meet various conditions in normal working when working in the demonstration planning parcel. For example: the agricultural machinery carries out field work, idle running transfer, stop, turning and the like during demonstration work in a demonstration planning area.
Specifically, fig. 5 shows a flowchart illustrating a parcel planning in the method provided by the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the planning a presentation parcel according to the performance data and the area position data to obtain a presentation plan parcel specifically includes the following steps:
and step S1031, obtaining the travel area of two working travels of the agricultural machinery according to the travel planning information.
In the embodiment of the invention, the area of the area required by the distance of two driving cycles after the agricultural machinery starts to work is intercepted through the route planning information.
And S1032, selecting a demonstration area according to the area position data and the travel area to obtain a demonstration planning area.
In the embodiment of the invention, according to the region position data and the travel region area, a region corresponding to a parcel area required by the routes of two driving cycles after the agricultural machinery starts to work is selected as a demonstration planning parcel.
Further, the method for analyzing the operating state of the agricultural machine further comprises the following steps:
and step S104, acquiring initial working data generated when the agricultural machinery performs pre-working in the demonstration planning area, and constructing an agricultural machinery running state model according to the initial working data.
In the embodiment of the invention, when the agricultural machine performs pre-working in the demonstration planning area, the initial working data of the agricultural machine is obtained, and the model of the running state of the agricultural machine is constructed by taking the initial working data as a training set and a test set. The initial working data comprises track data generated according to GPS positioning and monitoring data acquired by an unmanned aerial vehicle flying along with the agricultural machinery when the agricultural machinery works in advance.
Specifically, fig. 6 shows a flowchart for constructing an agricultural machinery operating state model in the method provided by the embodiment of the invention.
In a preferred embodiment provided by the present invention, the obtaining initial working data generated when the agricultural machinery performs pre-working in the demonstration plan area, and the building of the agricultural machinery running state model according to the initial working data specifically includes the following steps:
step S1041, obtaining initial working data generated when the agricultural machinery carries out pre-working in the demonstration planning area.
In the embodiment of the invention, when the agricultural machinery performs pre-working in the demonstration planning area, the initial working data generated when the agricultural machinery performs pre-working is collected.
Specifically, fig. 7 shows a flowchart of initial working data acquisition in the method provided by the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the acquiring initial work data generated when the agricultural machinery performs pre-work in the demonstration plan area specifically includes the following steps:
step S10411, obtaining pre-working positioning data when the agricultural machinery performs pre-working in the demonstration planning area.
In the embodiment of the invention, the agricultural machinery carries out GPS real-time positioning when carrying out pre-working in the demonstration planning area, and obtains the pre-working positioning data of the agricultural machinery.
And S10412, generating pre-working trajectory data of the agricultural machinery according to the pre-working positioning data.
In the embodiment of the invention, the track is recorded according to the pre-working positioning data of the agricultural machine, and the pre-working track data of the agricultural machine is generated. The moving speed of the agricultural machine can be checked from the pre-working track data of the agricultural machine, and then the working condition of the agricultural machine is judged.
Step S10413, obtaining monitoring data of the pre-working unmanned aerial vehicle when the agricultural machinery performs pre-working in the demonstration planning area.
In the embodiment of the invention, the unmanned aerial vehicle is set to monitor the working environment along with the movement of the agricultural machinery, and the monitoring data of the pre-working unmanned aerial vehicle when the agricultural machinery works in advance is generated.
It can be understood that the environment of agricultural machinery work is complicated, monitors operational environment through the sensor of agricultural machinery from the area and a lot of errors appear easily, follows the removal of agricultural machinery through unmanned aerial vehicle and carries out operational environment monitoring, can acquire the agricultural machinery operational environment situation under the complex environment, and then combines together with the work track data in advance, can judge the operational aspect of agricultural machinery. For example: when the environment monitored by the unmanned aerial vehicle is normal, if the situation that the agricultural machinery is in deceleration or suspension is analyzed through the pre-working trajectory data, the situation that the agricultural machinery is in an abnormal working condition can be judged; when there is the barrier in the environment of unmanned aerial vehicle monitoring, if be in the condition of slowing down or suspending through work track data analysis agricultural machinery in advance, can judge that the agricultural machinery is in normal condition.
Step S10414, generating initial working data according to the pre-working trajectory data and the pre-working unmanned aerial vehicle monitoring data.
In the embodiment of the invention, the initial working data of the agricultural machinery is generated by combining the pre-working track data with the pre-working unmanned aerial vehicle monitoring data and combining the real-time analysis of the working condition of the agricultural machinery.
Further, the step of obtaining initial working data generated when the agricultural machinery performs pre-working in the demonstration planning district and constructing an agricultural machinery running state model according to the initial working data further comprises the following steps:
step S1042, randomly dividing the initial working data into a training set and a testing set.
In the embodiment of the invention, the initial model is selected, seven tenth of initial working data are randomly screened as a training set after the initial model is selected, and the rest initial working data are used as a test set.
And S1043, performing model training and testing according to the training set and the testing set to generate an agricultural machinery running state model.
In the embodiment of the invention, the initial model is trained by the training set, and the test and optimization are carried out by the test set to generate the agricultural machinery running state model.
Further, the method for analyzing the operating state of the agricultural machine further comprises the following steps:
and S105, acquiring real-time working data when the agricultural machinery works according to the working planning information.
In the embodiment of the invention, after the demonstration work performed in the demonstration plan area is completed, the agricultural machinery performs formal work in the working area of the formal work according to the work planning information, and the real-time working data of the agricultural machinery is acquired in real time at the moment. The real-time working data comprises track data generated according to GPS positioning and monitoring data acquired by an unmanned aerial vehicle flying along with the agricultural machinery during formal working of the agricultural machinery.
It is understood that, in the embodiment of the present invention, the work area of the official work is a work area other than the presentation plan sheet area.
Specifically, fig. 8 shows a flowchart of real-time working data acquisition in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the acquiring real-time working data of the agricultural machinery working according to the working planning information specifically includes the following steps:
and S1051, acquiring real-time positioning data of the agricultural machinery during working according to the working planning information.
In the embodiment of the invention, when the agricultural machinery works according to the work planning information, the GPS real-time positioning is carried out to obtain the real-time positioning data of the agricultural machinery.
And step S1052, generating real-time track data of the agricultural machinery according to the real-time positioning data.
In the embodiment of the invention, the track is recorded according to the real-time positioning data of the agricultural machinery, and the real-time track data of the agricultural machinery is generated. The moving speed of the agricultural machine during formal work can be checked from the real-time track data of the agricultural machine, and then the working condition of the agricultural machine during work is judged.
And S1053, acquiring real-time unmanned aerial vehicle monitoring data when the agricultural machinery works according to the work planning information.
In the embodiment of the invention, when the agricultural machinery carries out formal work according to the work planning information, the unmanned aerial vehicle carries out monitoring on the working environment along with the movement of the agricultural machinery, and real-time unmanned aerial vehicle monitoring data is generated when the agricultural machinery carries out formal work.
And S1054, generating real-time working data according to the real-time track data and the real-time unmanned aerial vehicle monitoring data.
In the embodiment of the invention, real-time track data of the agricultural machinery and real-time unmanned aerial vehicle monitoring data are combined to generate real-time working data when the agricultural machinery works according to the working planning information.
Further, the method for analyzing the operating state of the agricultural machine further comprises the following steps:
and S106, importing the real-time working data into the agricultural machinery running state model, and outputting the agricultural machinery running state under the real-time working data.
In the embodiment of the invention, the real-time working data of the agricultural machine is imported into the agricultural machine running state model, the real-time working data is analyzed according to the agricultural machine running state model, and the agricultural machine running state is generated in real time, so that a worker can conveniently and remotely obtain the running state of the agricultural machine, and the operation of the agricultural machine can be timely adjusted when the agricultural machine fails or is abnormal.
In summary, the embodiment of the invention obtains the performance data of the agricultural machinery and the regional position data of the working region; performing work planning to generate work planning information; planning a demonstration area to obtain a demonstration planning area; acquiring initial working data generated when the agricultural machinery performs pre-working in a demonstration planning area, and constructing an agricultural machinery running state model; and importing real-time working data of the agricultural machine into the agricultural machine running state model, and outputting the agricultural machine running state. The agricultural machinery operation state model is constructed through data obtained in the demonstration planning, operation analysis is carried out on real-time operation of the agricultural machinery according to the agricultural machinery operation state model, the operation state of the agricultural machinery can be accurately and timely obtained in a complex working environment, and operation abnormity and faults of the agricultural machinery can be conveniently and timely found.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
Another embodiment of the present invention provides a computer device/mobile terminal based on the foregoing method embodiment, including:
a memory for storing a computer program;
a processor for executing the computer program in the memory to implement the operational steps of the aforementioned method embodiments.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like which is the control center for the terminal or associated system and which connects the various parts of the overall terminal using various interfaces and lines.
The memory can be used for storing computer and mobile phone programs and/or modules, and the processor can realize various functions of the terminal by operating or executing the computer, mobile phone programs and/or modules stored in the memory and calling data stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the berth-status display system. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
In another embodiment of the present invention, on the basis of the aforementioned method embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, carries out the operational steps of the aforementioned method embodiment.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. The agricultural machinery running state analysis method is characterized by comprising the following steps:
acquiring performance data of the agricultural machinery and regional position data of a working region; wherein the performance data includes oil reserve, mobile fuel consumption, and operational fuel consumption; the region location data comprises boundary location data of the work region;
performing work planning according to the performance data and the region position data to generate work planning information;
performing demonstration plot planning according to the performance data and the region position data to obtain a demonstration planning plot;
acquiring initial working data generated when the agricultural machinery performs pre-working in the demonstration planning area, and constructing an agricultural machinery running state model according to the initial working data;
acquiring real-time working data of the agricultural machinery during working according to the working planning information;
and importing the real-time working data into the agricultural machinery running state model, and outputting the agricultural machinery running state under the real-time working data.
2. The agricultural machinery operating state analysis method according to claim 1, wherein the acquiring performance data of the agricultural machinery and regional position data of a working region specifically comprises the following steps:
acquiring performance data of the agricultural machine;
obtaining the region selection of a working region;
and generating region position data of the working region according to the region selection.
3. The agricultural machinery operating state analysis method according to claim 1, wherein the performing work planning according to the performance data and the regional position data, and the generating work planning information specifically comprises the following steps:
performing route planning according to the area position data to generate route planning information;
performing travel planning according to the performance data and the route planning information to generate travel planning information;
and generating work planning information according to the route planning information and the travel planning information.
4. The agricultural machinery operating state analyzing method according to claim 3, wherein the performing route planning according to the regional position data and generating route planning information specifically comprises the following steps:
performing working area projection according to the area position data to generate a working projection area;
performing density separation on the working projection area to generate a projection separation area;
and planning a route according to the projection separation area to generate route planning information.
5. The agricultural machinery operating state analysis method according to claim 4, wherein the planning of the demonstration plot according to the performance data and the area position data to obtain the demonstration planning plot specifically comprises the following steps:
according to the travel planning information, acquiring travel area of two travels of agricultural machinery;
and selecting a demonstration area according to the area position data and the travel area to obtain a demonstration planning area.
6. The agricultural machinery operating state analysis method according to claim 1, wherein the step of obtaining initial working data generated when the agricultural machinery performs pre-working in the demonstration planning area and building an agricultural machinery operating state model according to the initial working data specifically comprises the following steps:
acquiring initial working data generated when the agricultural machinery performs pre-working in the demonstration planning area;
randomly dividing initial working data into a training set and a testing set;
and carrying out model training and testing according to the training set and the testing set to generate an agricultural machinery running state model.
7. The agricultural machinery operation state analysis method according to claim 6, wherein the obtaining of initial work data generated when the agricultural machinery performs pre-work in the demonstration planning area specifically comprises the following steps:
acquiring pre-working positioning data when the agricultural machinery performs pre-working in the demonstration planning area;
generating pre-working track data of the agricultural machinery according to the pre-working positioning data;
acquiring monitoring data of a pre-working unmanned aerial vehicle when the agricultural machinery performs pre-working in the demonstration planning area;
and generating initial working data according to the pre-working track data and the pre-working unmanned aerial vehicle monitoring data.
8. The agricultural machinery operation state analysis method according to claim 1, wherein the obtaining of real-time work data of the agricultural machinery when working according to the work planning information specifically comprises the following steps:
acquiring real-time positioning data of the agricultural machinery during working according to the working planning information;
generating real-time track data of the agricultural machinery according to the real-time positioning data;
acquiring real-time unmanned aerial vehicle monitoring data when the agricultural machinery works according to the work planning information;
and generating real-time working data according to the real-time track data and the real-time unmanned aerial vehicle monitoring data.
9. A computer device/mobile terminal, comprising:
a memory for storing a computer program;
a processor for executing the computer program in the memory to carry out the operational steps of the method of any one of claims 1 to 8.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the operating steps of the method according to any one of claims 1 to 8.
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