CN113900451A - Unmanned aerial vehicle digital agriculture application system based on 5G Beidou technology - Google Patents
Unmanned aerial vehicle digital agriculture application system based on 5G Beidou technology Download PDFInfo
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- 239000000575 pesticide Substances 0.000 claims abstract description 30
- 241000607479 Yersinia pestis Species 0.000 claims abstract description 27
- 238000004891 communication Methods 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims description 15
- DMBHHRLKUKUOEG-UHFFFAOYSA-N diphenylamine Chemical compound C=1C=CC=CC=1NC1=CC=CC=C1 DMBHHRLKUKUOEG-UHFFFAOYSA-N 0.000 claims description 9
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- G05D1/10—Simultaneous control of position or course in three dimensions
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Abstract
The invention discloses an unmanned aerial vehicle digital agriculture application system based on a 5G Beidou technology, which relates to the technical field of digital agriculture, and is characterized in that a knowledge base is established, a crop knowledge sub-base, a crop pest information sub-base and a pesticide knowledge information sub-base are established in the knowledge base, and when an unmanned aerial vehicle carries out agricultural operation, the agricultural operation content which is going on is intelligently judged through the crop pest information sub-base and the pesticide knowledge information sub-base, so that the operation process of the unmanned aerial vehicle is supervised, and the efficiency and the safety of the agricultural operation are improved through the unmanned aerial vehicle; the operation center, the supervision center and the operation center are in communication connection with the cloud platform, so that the operation center, the supervision center and the operation center can directly call mutually acquired information in the operation process through the cloud platform, and interconnection and intercommunication of data are completed.
Description
Technical Field
The invention belongs to the technical field of digital agriculture, and particularly relates to an unmanned aerial vehicle digital agriculture application system based on a 5G Beidou technology.
Background
With the development of intelligent manufacturing and large-scale integrated circuit industries, the process of the unmanned aerial vehicle is more and more mature, and the performance is greatly improved; unmanned aerial vehicles begin to be used in many industries, have considerable market scale prospect, and bring business model changes and management rule changes for many industries.
Present agricultural operation mainly relies on manual operation, and its process is troublesome, time-consuming, hard, dangerous even, and unmanned aerial vehicle can be high-efficient, safe completion task, how with the effectual combination of unmanned aerial vehicle and agricultural operation, is the problem that we need solve, for this reason, now provides the unmanned aerial vehicle digital agriculture application system based on 5G big dipper technique.
Disclosure of Invention
The invention aims to provide an unmanned aerial vehicle digital agriculture application system based on a 5G Beidou technology.
The purpose of the invention can be realized by the following technical scheme: unmanned aerial vehicle digital agriculture application system based on 5G big dipper technique, including cloud platform, supervision center, operation center and operation center, the data of supervision center, operation center and operation center carry out interconnection through the cloud platform each other, supervision center communication connection has flight management module for supervision unmanned aerial vehicle's flight data, operation center communication connection has information management module, information management module manages unmanned aerial vehicle information and personnel through establishing unmanned aerial vehicle information base and personnel information base, the operation center is used for monitoring unmanned aerial vehicle operation content, and establishes there is the knowledge base, through the crops knowledge sub-base that establishes in the knowledge base, insect pest information sub-base, pesticide knowledge information sub-base to supervise unmanned aerial vehicle's operation process.
Further, the process of establishing the unmanned aerial vehicle information base and the personnel information base comprises the following steps:
establishing an unmanned aerial vehicle information base and a personnel information base, registering unmanned aerial vehicle configuration information, and uploading the unmanned aerial vehicle configuration information to the unmanned aerial vehicle information base for storage;
respectively establishing a farmer information sub-library and a flyer information sub-library in a personnel information library;
and acquiring information of the cooperative society or the individual household, and uploading the information of the cooperative society and the information of the individual household to a farmer information sub-base.
Further, the flight crew information sub-library is used for auditing the flight qualification of the unmanned aerial vehicle flight crew, and the auditing process includes:
inputting basic information of personnel;
after the input of the basic information of the personnel is finished, the flight qualification certificate is uploaded, then face recognition verification is carried out, after the verification is passed, the configuration information of the unmanned aerial vehicle is uploaded to an unmanned aerial vehicle information base, meanwhile, the verification of the flight qualification of the flyer of the unmanned aerial vehicle is finished, and the basic information of the flyer is uploaded to a flyer information sub-base to be stored.
Further, the process of monitoring and managing the flight data of the unmanned aerial vehicle includes:
setting a flight airspace, establishing a quasi-flight area and a no-flight area in the flight airspace, and generating a satellite map according to the flight airspace through a 5G Beidou technology;
inputting flight permission application content, applying for unmanned aerial vehicle flight permission, and after obtaining the unmanned aerial vehicle flight permission, flying the unmanned aerial vehicle according to the application content; the application content comprises unmanned aerial vehicle flight hand information, unmanned configuration information, a flight time period and a flight area, and after the flight permission application of the unmanned aerial vehicle is obtained, the position of the unmanned aerial vehicle is positioned through the 5G Beidou technology, and flight data of the unmanned aerial vehicle are obtained in real time.
Further, the process of acquiring the flight data of the unmanned aerial vehicle comprises:
acquiring a satellite map, marking a corresponding area as an unmanned aerial vehicle quasi-flight area according to a flight area in the application content in the satellite map, and marking an area outside the unmanned aerial vehicle quasi-flight area as an unmanned aerial vehicle no-flight area; acquiring the flight state of an unmanned aerial vehicle, wherein the flight state of the unmanned aerial vehicle comprises a static state and a flight state;
acquiring the position of the unmanned aerial vehicle, acquiring the current time, matching the current time with the flight time period in the application content, and judging whether the unmanned aerial vehicle flyer has illegal operation according to the matching result; when the unmanned aerial vehicle is permitted to fly and the flying state of the unmanned aerial vehicle is a moving state, acquiring a flying starting point of the unmanned aerial vehicle, then acquiring the position of the unmanned aerial vehicle in real time, and simultaneously acquiring the flying speed, flying time, endurance mileage and operation state of the unmanned aerial vehicle; according to the flight time and the position of the unmanned aerial vehicle, generating an unmanned aerial vehicle navigation log, uploading the navigation log to a cloud platform for storage, simultaneously, according to the current position of the unmanned aerial vehicle, obtaining the distance between the current position of the unmanned aerial vehicle and the flight starting point of the unmanned aerial vehicle, comparing the distance between the current position of the unmanned aerial vehicle and the flight starting point of the unmanned aerial vehicle with the endurance mileage, and reminding the flying hand of the unmanned aerial vehicle to control the unmanned aerial vehicle to return according to the comparison result.
Further, the process of establishing the knowledge base comprises:
establishing a crop knowledge sub-base, and introducing crop growth information into the crop knowledge sub-base, wherein the crop growth information comprises crop varieties and periods corresponding to different growth stages of each crop; respectively establishing crop pest information sub-libraries according to different growth stages of each crop, introducing crop pest information into the crop pest information sub-libraries, and binding the pest information with the corresponding crop and the corresponding growth stage; and establishing a pesticide knowledge information sub-base by combining the pest information and the crops, introducing different pesticide information into the pesticide knowledge information sub-base, and binding the pesticide information with the crop and pest information.
Further, operation monitoring module has still been established at the operation center, and operation monitoring module is used for monitoring unmanned aerial vehicle's operation process, includes: selecting an operation area of the unmanned aerial vehicle on the satellite map, and acquiring the crop type and the corresponding growth stage of the selected operation area; obtaining the required pesticide variety according to the obtained crop variety and the corresponding growth stage in the selected operation area; and judging whether the pesticide type borne by the unmanned aerial vehicle is consistent with the required pesticide type, if so, normally operating, and if not, generating early warning information and sending the early warning information to the unmanned aerial vehicle flyer.
Furthermore, when the quasi-flight area of the unmanned aerial vehicle overlaps with the no-flight area in the flight airspace, the priority of the no-flight area in the flight airspace is greater than that of the unmanned aerial vehicle, that is, the overlapping part of the quasi-flight area and the no-flight area of the unmanned aerial vehicle is marked as the no-flight area of the unmanned aerial vehicle.
Compared with the prior art, the invention has the beneficial effects that: 1. by establishing the knowledge base and establishing the crop knowledge sub-base, the crop pest information sub-base and the pesticide knowledge information sub-base in the knowledge base, when the unmanned aerial vehicle carries out agricultural operation, the intelligent judgment on the content of the ongoing agricultural operation is carried out through the crop pest information sub-base and the pesticide knowledge information sub-base, so that the operation process of the unmanned aerial vehicle is supervised, and the efficiency and the safety of the agricultural operation are improved through the unmanned aerial vehicle; 2. the operation center, the supervision center and the operation center are in communication connection with the cloud platform, so that the operation center, the supervision center and the operation center can directly call mutually acquired information in the operation process through the cloud platform, and interconnection and intercommunication of data are completed.
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Fig. 1 is a schematic diagram 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the unmanned aerial vehicle digital agriculture application system based on the 5G beidou technology comprises a cloud platform, a supervision center, an operation center and an operation center, wherein data of the supervision center, the operation center and the operation center are mutually interconnected and intercommunicated through the cloud platform;
operation center communication connection has information management module, information management module is used for managing unmanned aerial vehicle information and personnel, and specific process includes:
establishing an unmanned aerial vehicle information base and a personnel information base;
registering unmanned aerial vehicle configuration information, and uploading the unmanned aerial vehicle configuration information to an unmanned aerial vehicle information base for storage;
respectively establishing a farmer information sub-library and a flyer information sub-library in a personnel information library;
acquiring cooperative agent information or individual user information, and uploading the cooperative agent information and the individual user information to a farmer information sub-base, wherein the cooperative agent information and the individual user information comprise a user name, a contact way of real-name authentication and the agricultural field of the user name and the real-name authentication;
the flight quality sub-database is used for checking the flight quality of the unmanned aerial vehicle flight hand, and the checking process comprises the following steps:
inputting basic information of personnel, wherein the basic information of the personnel comprises name, age, gender, mobile phone number of real-name authentication and used unmanned aerial vehicle configuration information;
after the input of the basic information of the personnel is finished, the flight qualification certificate is uploaded, then face recognition verification is carried out, after the verification is passed, the configuration information of the unmanned aerial vehicle is uploaded to an unmanned aerial vehicle information base, meanwhile, the verification of the flight qualification of the flyer of the unmanned aerial vehicle is finished, and the basic information of the flyer is uploaded to a flyer information sub-base to be stored.
It should be further explained that, in the specific implementation process, the registered information of the unmanned aerial vehicle and the registered information of the personnel are completed through the operation center, and are also uploaded to the cloud platform while being stored in the information base of the unmanned aerial vehicle and the information base of the personnel, so that the information of the unmanned aerial vehicle and the information of the personnel in the operation center are backed up in the cloud platform, and the information of the unmanned aerial vehicle and the information of the personnel in the cloud platform can be directly called by the supervision center and the operation center in the operation process, so that the interconnection and the intercommunication of data are completed.
Supervision center communication connection has flight management module, flight management module is used for monitoring and managing unmanned aerial vehicle's flight data, and specific process includes:
setting a flight airspace, establishing a quasi-flight area and a no-flight area in the flight airspace, and generating a satellite map according to the flight airspace through a 5G Beidou technology;
inputting flight permission application content, applying for unmanned aerial vehicle flight permission, and after obtaining the unmanned aerial vehicle flight permission, flying the unmanned aerial vehicle according to the application content; the application content comprises unmanned aerial vehicle flyer information, unmanned configuration information, a flight time period and a flight area;
it needs further to be explained that, in the specific implementation process, after obtaining the flight permission application of the unmanned aerial vehicle, the position of the unmanned aerial vehicle is located through the 5G beidou technology, and the flight data of the unmanned aerial vehicle is obtained in real time, and the specific process includes:
acquiring a satellite map, marking a corresponding area as an unmanned aerial vehicle quasi-flight area according to a flight area in the application content in the satellite map, and marking an area outside the unmanned aerial vehicle quasi-flight area as an unmanned aerial vehicle no-flight area; it should be further noted that, in the implementation process, when the quasi-flight area of the unmanned aerial vehicle overlaps with the no-flight area in the flight airspace, the priority of the no-flight area in the flight airspace is greater than that of the unmanned quasi-flight area, that is, the overlapping portion of the quasi-flight area of the unmanned aerial vehicle and the no-flight area is marked as the no-flight area of the unmanned aerial vehicle.
Acquiring the flight state of an unmanned aerial vehicle, wherein the flight state of the unmanned aerial vehicle comprises a static state and a flight state;
acquiring the position of the unmanned aerial vehicle, and mapping the position of the unmanned aerial vehicle into a satellite map; simultaneously obtaining the current time, and matching the current time with the flight time period in the application content; if the current time is within the flight time period, judging that the unmanned aerial vehicle is permitted to fly; if the current time is not in the flight time period, when the flight state of the unmanned aerial vehicle is in a static state, judging that no illegal operation exists on the unmanned aerial vehicle flyer, when the flight state of the unmanned aerial vehicle is in the flight state, judging that the illegal operation exists on the unmanned aerial vehicle flyer, highlighting the unmanned aerial vehicle position, sending early warning information to a supervision center, and sending reminding information to the unmanned aerial vehicle flyer through the supervision center.
When the unmanned aerial vehicle is permitted to fly and the flying state of the unmanned aerial vehicle is a moving state, acquiring a flying starting point of the unmanned aerial vehicle, then acquiring the position of the unmanned aerial vehicle in real time, and simultaneously acquiring the flying speed, flying time, endurance mileage and operation state of the unmanned aerial vehicle;
according to the flight time and position of the unmanned aerial vehicle, an unmanned aerial vehicle navigation log is generated, the navigation log is uploaded to a cloud platform to be stored, meanwhile, according to the current position of the unmanned aerial vehicle, the distance between the current position of the unmanned aerial vehicle and the flight starting point of the unmanned aerial vehicle is obtained, the distance between the current position of the unmanned aerial vehicle and the flight starting point of the unmanned aerial vehicle is compared with the endurance mileage, when the distance between the current position of the unmanned aerial vehicle and the flight starting point of the unmanned aerial vehicle is smaller than the endurance mileage, work is continued, when the distance between the current position of the unmanned aerial vehicle and the flight starting point of the unmanned aerial vehicle is not smaller than the endurance mileage, early warning information is sent to the unmanned aerial vehicle flyer, and therefore the unmanned aerial vehicle flyer is reminded to control the unmanned aerial vehicle to return.
It should be further noted that, in the implementation process, the obtained cruising range of the unmanned aerial vehicle may be smaller than the range that the unmanned aerial vehicle can actually fly.
The operation center is used for monitoring the operation process of the unmanned aerial vehicle, a knowledge base is established in the operation center, and the establishment process of the knowledge base specifically comprises the following steps:
establishing a crop knowledge sub-base, and introducing crop growth information into the crop knowledge sub-base, wherein the crop growth information comprises crop varieties and periods corresponding to different growth stages of each crop; the method comprises the steps of establishing crop pest information sub-libraries according to different growth stages of each crop, introducing crop pest information into the crop pest information sub-libraries, and binding the pest information with the corresponding crop and the corresponding growth stage, and further explaining that different crop growth stages exist in a specific implementation process, different pest situations may be generated in each growth stage, and the different stages of each crop are connected with the corresponding pest situations, so that the pest situations of the crops can be well mastered;
it should be further noted that, in the implementation process, different types of crop distribution areas are marked on the satellite map according to actual conditions.
And establishing a pesticide knowledge information sub-base by combining the pest information and the crops, introducing different pesticide information into the pesticide knowledge information sub-base, wherein the pesticide information comprises pesticide species, pesticide action, use dosage and use cautionary matters, and then binding the pesticide information with the crop and the pest information.
Operation monitoring module has still been established to the operation center, and operation monitoring module is used for monitoring unmanned aerial vehicle's operation process, and concrete process includes:
selecting an operation area of the unmanned aerial vehicle on the satellite map, and acquiring the crop type and the corresponding growth stage of the selected operation area;
obtaining the required pesticide variety according to the obtained crop variety and the corresponding growth stage in the selected operation area;
whether the pesticide type borne by the unmanned aerial vehicle is consistent with the required pesticide type or not is obtained, if so, normal operation is carried out, if not, early warning information is generated, and the early warning information is sent to the unmanned aerial vehicle flyer.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. Unmanned aerial vehicle digital agriculture application system based on 5G big dipper technique, its characterized in that, including cloud platform, supervision center, operation center and operation center, the data of supervision center, operation center and operation center carry out interconnection through the cloud platform each other, supervision center communication connection has flight management module for supervision unmanned aerial vehicle's flight data, operation center communication connection has information management module, information management module manages unmanned aerial vehicle information and personnel through establishing unmanned aerial vehicle information base and personnel information base, the operation center is used for monitoring unmanned aerial vehicle operation content, and has established the knowledge base, through the crops knowledge base that establishes in the knowledge base, crops insect pest information sub-base, pesticide knowledge information sub-base to the operation process of unmanned aerial vehicle supervises.
2. The unmanned aerial vehicle digital agriculture application system based on 5G big dipper technology of claim 1, wherein the establishment process of the unmanned aerial vehicle information base and the personnel information base comprises:
establishing an unmanned aerial vehicle information base and a personnel information base, registering unmanned aerial vehicle configuration information, and uploading the unmanned aerial vehicle configuration information to the unmanned aerial vehicle information base for storage;
respectively establishing a farmer information sub-library and a flyer information sub-library in a personnel information library;
and acquiring information of the cooperative society or the individual household, and uploading the information of the cooperative society and the information of the individual household to a farmer information sub-base.
3. The unmanned aerial vehicle digital agriculture application system based on 5G big dipper technology of claim 2, wherein the flier information sub-base is used for auditing the flight qualification of the unmanned aerial vehicle flier, and the auditing process includes:
inputting basic information of personnel;
after the input of the basic information of the personnel is finished, the flight qualification certificate is uploaded, then face recognition verification is carried out, after the verification is passed, the configuration information of the unmanned aerial vehicle is uploaded to an unmanned aerial vehicle information base, meanwhile, the verification of the flight qualification of the flyer of the unmanned aerial vehicle is finished, and the basic information of the flyer is uploaded to a flyer information sub-base to be stored.
4. The unmanned aerial vehicle digital agriculture application system based on 5G big dipper technology of claim 1, wherein the process of monitoring and managing the flight data of unmanned aerial vehicles comprises:
setting a flight airspace, establishing a quasi-flight area and a no-flight area in the flight airspace, and generating a satellite map according to the flight airspace through a 5G Beidou technology;
inputting flight permission application content, applying for unmanned aerial vehicle flight permission, and after obtaining the unmanned aerial vehicle flight permission, flying the unmanned aerial vehicle according to the application content; the application content comprises unmanned aerial vehicle flight hand information, unmanned configuration information, a flight time period and a flight area, and after the flight permission application of the unmanned aerial vehicle is obtained, the position of the unmanned aerial vehicle is positioned through the 5G Beidou technology, and flight data of the unmanned aerial vehicle are obtained in real time.
5. The unmanned aerial vehicle digital agriculture application system based on 5G big dipper technology of claim 4, wherein the process of obtaining the flight data of the unmanned aerial vehicle comprises:
acquiring a satellite map, marking a corresponding area as an unmanned aerial vehicle quasi-flight area according to a flight area in the application content in the satellite map, and marking an area outside the unmanned aerial vehicle quasi-flight area as an unmanned aerial vehicle no-flight area; acquiring the flight state of an unmanned aerial vehicle, wherein the flight state of the unmanned aerial vehicle comprises a static state and a flight state;
acquiring the position of the unmanned aerial vehicle, acquiring the current time, matching the current time with the flight time period in the application content, and judging whether the unmanned aerial vehicle flyer has illegal operation according to the matching result; when the unmanned aerial vehicle is permitted to fly and the flying state of the unmanned aerial vehicle is a moving state, acquiring a flying starting point of the unmanned aerial vehicle, then acquiring the position of the unmanned aerial vehicle in real time, and simultaneously acquiring the flying speed, flying time, endurance mileage and operation state of the unmanned aerial vehicle; according to the flight time and the position of the unmanned aerial vehicle, generating an unmanned aerial vehicle navigation log, uploading the navigation log to a cloud platform for storage, simultaneously, according to the current position of the unmanned aerial vehicle, obtaining the distance between the current position of the unmanned aerial vehicle and the flight starting point of the unmanned aerial vehicle, comparing the distance between the current position of the unmanned aerial vehicle and the flight starting point of the unmanned aerial vehicle with the endurance mileage, and reminding the flying hand of the unmanned aerial vehicle to control the unmanned aerial vehicle to return according to the comparison result.
6. The unmanned aerial vehicle digital agriculture application system based on 5G big dipper technology of claim 5, wherein the establishing process of the knowledge base comprises:
establishing a crop knowledge sub-base, and introducing crop growth information into the crop knowledge sub-base, wherein the crop growth information comprises crop varieties and periods corresponding to different growth stages of each crop; respectively establishing crop pest information sub-libraries according to different growth stages of each crop, introducing crop pest information into the crop pest information sub-libraries, and binding the pest information with the corresponding crop and the corresponding growth stage; and establishing a pesticide knowledge information sub-base by combining the pest information and the crops, introducing different pesticide information into the pesticide knowledge information sub-base, and binding the pesticide information with the crop and pest information.
7. The unmanned aerial vehicle digital agriculture application system based on 5G big dipper technology of claim 6, characterized in that, the operation center is still established with operation monitoring module, and operation monitoring module is used for monitoring the operation process of unmanned aerial vehicle, including: selecting an operation area of the unmanned aerial vehicle on the satellite map, and acquiring the crop type and the corresponding growth stage of the selected operation area; obtaining the required pesticide variety according to the obtained crop variety and the corresponding growth stage in the selected operation area; and judging whether the pesticide type borne by the unmanned aerial vehicle is consistent with the required pesticide type, if so, normally operating, and if not, generating early warning information and sending the early warning information to the unmanned aerial vehicle flyer.
8. The unmanned aerial vehicle digital agricultural application system based on the 5G Beidou technology as claimed in claim 5, wherein when the unmanned aerial vehicle quasi-flight area and the no-flight area in the flight airspace generate an overlapping part, the priority of the no-flight area in the flight airspace is greater than that of the unmanned aerial vehicle quasi-flight area, namely the overlapping part of the unmanned aerial vehicle quasi-flight area and the no-flight area is marked as the no-flight area of the unmanned aerial vehicle.
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