CN111858745A - Block chain type mapping relation storage application system and method - Google Patents
Block chain type mapping relation storage application system and method Download PDFInfo
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- CN111858745A CN111858745A CN202010178867.1A CN202010178867A CN111858745A CN 111858745 A CN111858745 A CN 111858745A CN 202010178867 A CN202010178867 A CN 202010178867A CN 111858745 A CN111858745 A CN 111858745A
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- wheat plant
- density
- block chain
- permanent magnet
- brushless motor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01D—HARVESTING; MOWING
- A01D41/00—Combines, i.e. harvesters or mowers combined with threshing devices
- A01D41/12—Details of combines
- A01D41/127—Control or measuring arrangements specially adapted for combines
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01D—HARVESTING; MOWING
- A01D41/00—Combines, i.e. harvesters or mowers combined with threshing devices
- A01D41/12—Details of combines
- A01D41/127—Control or measuring arrangements specially adapted for combines
- A01D41/1278—Control or measuring arrangements specially adapted for combines for automatic steering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
Abstract
The invention relates to a block chain type mapping relation storage application system, which comprises: the network storage node is arranged at the far end of the automatic harvester and used for storing the one-to-one corresponding relation between different wheat plant densities and the driving current based on a block chain mechanism; the current correction equipment is positioned in the automatic harvester, is connected with the network storage node through a network and is used for correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density; and a permanent magnet brushless motor for performing rotation at different rotation speeds based on the received different driving currents. The invention also relates to a block chain type mapping relation storage application method. The block chain type mapping relation storage application system and the method are simple in principle and effective in control. On the basis of storing the key data by adopting a block chain mechanism, the harvesting mode of the automatic harvester is subjected to field adjustment based on field wheat field density, so that the automation level of wheat field harvesting is enhanced.
Description
Technical Field
The present invention relates to the field of block chaining, and in particular, to a block chaining mapping relationship storage application system and method.
Background
The distributed account book means that transaction accounting is completed by a plurality of nodes distributed in different places together, and each node records a complete account, so that the nodes can participate in monitoring transaction validity and can also jointly make a proof for the transaction.
Unlike traditional distributed storage, the uniqueness of distributed storage of blockchains is mainly reflected in two aspects: firstly, each node of the block chain stores complete data according to a block chain structure, and the traditional distributed storage generally divides the data into a plurality of parts according to a certain rule for storage. Secondly, the storage of each node of the block chain is independent and equal in status, the consistency of the storage is ensured by means of a consensus mechanism, and the traditional distributed storage generally synchronizes data to other backup nodes through a central node. No one node can record ledger data alone, thereby avoiding the possibility of a single bookkeeper being controlled or being bribered to account falsely. The accounting nodes are enough, so that the account is not lost unless all the nodes are damaged theoretically, and the safety of the account data is ensured.
At present, in the harvest control of an automatic harvester for intelligent agriculture, an effective technical scheme for applying a block chain technology is lacked, so that the advantages of the block chain technology cannot be fully utilized.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a block chain type mapping relation storage application system and a block chain type mapping relation storage application method, which can enable the harvesting strength of harvesting execution equipment to be matched with the number of wheat plant objects to be harvested according to self-adaptive control of harvesting measurement of an automatic harvester, and more importantly, a block chain control is introduced to store key data for executing the self-adaptive control, so that the key data are prevented from being leaked or tampered.
Therefore, the invention needs to have the following three important points:
(1) the rotating speed of a permanent magnet brushless motor driving the cylindrical harvesting structure is adjusted in a self-adaptive mode based on the number of wheat plant objects in the wheat field area to be harvested, so that dynamic balance between power saving and harvesting effects is achieved;
(2) when detecting that the number of wheat plant objects in the wheat field area to be harvested is too small, sending an idle detection signal to stop operating the cylindrical harvesting structure to automatically harvest the wheat field;
(3) and introducing a network storage node for storing the one-to-one corresponding relation between the density of different wheat plants and the driving current based on a block chain mechanism.
According to an aspect of the present invention, there is provided a block chain mapping relation storage application system, the system including:
The network storage node is arranged at the far end of the automatic harvester and used for storing the one-to-one corresponding relation between different wheat plant densities and the driving current based on a block chain mechanism;
the current correction equipment is positioned in the automatic harvester, is connected with the network storage node through a network and is used for correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density;
a permanent magnet brushless motor connected with the current correction device for performing rotation at different rotation speeds based on the received different driving currents;
the cylindrical harvesting structure is arranged at the front end of the automatic harvester, is arranged close to the wheat field ground and is used for performing harvesting action on a wheat field area in front of the automatic harvester under the driving of the permanent magnet brushless motor;
the directional snapshot device is arranged on the supporting rod above the cylindrical harvesting structure and used for outputting a directional snapshot image, and the range covered by the shooting visual angle of the snapshot image comprises a wheat field area harvested by the cylindrical harvesting structure;
the dynamic processing equipment is connected with the directional snapshot equipment and used for executing white balance processing on the received directional snapshot image based on a dynamic threshold value so as to obtain and output a corresponding dynamic processing image;
The density identification device is connected with the dynamic processing device and used for identifying each wheat plant object from the dynamic processing image based on the appearance characteristics of the individual wheat plant and determining the corresponding real-time wheat plant density based on the number of each wheat plant object;
wherein determining a corresponding real-time wheat plant density based on the number of each wheat plant object comprises: the smaller the number of each wheat plant object is, the smaller the numerical value of the determined real-time wheat plant density is;
wherein, correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density comprises: the denser the received real-time wheat plant density is, the larger the corrected driving current of the permanent magnet brushless motor is.
According to another aspect of the present invention, there is also provided a block chain mapping relation storage application method, including:
the network storage node is arranged at the far end of the automatic harvester and used for storing the one-to-one corresponding relation between different wheat plant densities and the driving current based on a block chain mechanism;
using current correction equipment, locating in the automatic harvester, connecting with the network storage node through a network, and correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density;
Using a permanent magnet brushless motor connected with the current correction device for executing rotation at different rotation speeds based on the received different drive currents;
a cylindrical harvesting structure is used, is arranged at the front end of the automatic harvester, is arranged close to the wheat field ground and is used for performing harvesting action on the wheat field area in front of the automatic harvester under the driving of a permanent magnet brushless motor;
using directional snapshot equipment, arranging the directional snapshot equipment on a support rod above the cylindrical harvesting structure, and outputting a directional snapshot image, wherein the range covered by the shooting visual angle of the set lower snapshot image comprises a wheat field area harvested by the cylindrical harvesting structure;
using a dynamic processing device, connected to the directional capture device, for performing white balance processing on the received directional capture image based on a dynamic threshold to obtain and output a corresponding dynamic processing image;
using a density identification device connected with the dynamic processing device and used for identifying each wheat plant object from the dynamic processing image based on the appearance characteristics of the individual wheat plant and determining the corresponding real-time wheat plant density based on the number of each wheat plant object;
wherein determining a corresponding real-time wheat plant density based on the number of each wheat plant object comprises: the smaller the number of each wheat plant object is, the smaller the numerical value of the determined real-time wheat plant density is;
Wherein, correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density comprises: the denser the received real-time wheat plant density is, the larger the corrected driving current of the permanent magnet brushless motor is.
The block chain type mapping relation storage application system and the method are simple in principle and effective in control. On the basis of storing the key data by adopting a block chain mechanism, the harvesting mode of the automatic harvester is subjected to field adjustment based on field wheat field density, so that the automation level of wheat field harvesting is enhanced.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a structural diagram of an automatic harvester to which the block chain mapping relationship storage application system and method of the present invention are applied.
Fig. 2 is a block diagram illustrating a block chain mapping relation storage application system according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating steps of a block chain mapping relation storage application method according to another embodiment of the present invention.
Detailed Description
Embodiments of the block chain mapping relation storage application system and method according to the present invention will be described in detail below with reference to the accompanying drawings.
At present, although the automatic harvester is widely used for harvesting wheat fields in various countries and regions, the harvesting function of the automatic harvester is limited to fixed-strength harvesting, regardless of the growth density of the actual wheat field, so that the situation of wasting the harvesting power of the automatic harvester and the situation of idling of the automatic harvester are easy to occur.
In order to overcome the defects, the invention builds a block chain type mapping relation storage application system and a block chain type mapping relation storage application method, and can effectively solve the corresponding technical problem.
Fig. 1 is a diagram showing an outline of an automatic harvester to which the block chain mapping relationship storage application system and method of the present invention are applied.
Subsequently, the technical solution of the present invention will be described in detail in different aspects using different embodiments.
Fig. 2 is a block diagram illustrating an architecture of a block chain mapping relation storage application system according to an embodiment of the present invention, where the system includes:
the network storage node is arranged at the far end of the automatic harvester and used for storing the one-to-one corresponding relation between different wheat plant densities and the driving current based on a block chain mechanism;
the current correction equipment is positioned in the automatic harvester, is connected with the network storage node through a network and is used for correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density;
A permanent magnet brushless motor connected with the current correction device for performing rotation at different rotation speeds based on the received different driving currents;
the cylindrical harvesting structure is arranged at the front end of the automatic harvester, is arranged close to the wheat field ground and is used for performing harvesting action on a wheat field area in front of the automatic harvester under the driving of the permanent magnet brushless motor;
the directional snapshot device is arranged on the supporting rod above the cylindrical harvesting structure and used for outputting a directional snapshot image, and the range covered by the shooting visual angle of the snapshot image comprises a wheat field area harvested by the cylindrical harvesting structure;
the dynamic processing equipment is connected with the directional snapshot equipment and used for executing white balance processing on the received directional snapshot image based on a dynamic threshold value so as to obtain and output a corresponding dynamic processing image;
the density identification device is connected with the dynamic processing device and used for identifying each wheat plant object from the dynamic processing image based on the appearance characteristics of the individual wheat plant and determining the corresponding real-time wheat plant density based on the number of each wheat plant object;
wherein determining a corresponding real-time wheat plant density based on the number of each wheat plant object comprises: the smaller the number of each wheat plant object is, the smaller the numerical value of the determined real-time wheat plant density is;
Wherein, correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density comprises: the denser the received real-time wheat plant density is, the larger the corrected driving current of the permanent magnet brushless motor is.
Next, the specific structure of the block chain mapping relation storage application system of the present invention will be further described.
The block chain mapping relation storage application system may further include:
the idle running reminding equipment is connected with the density identification equipment and is used for sending an idle running detection signal when the received real-time wheat plant density is less than or equal to a preset density threshold value;
the current correction device is further connected with the idle running reminding device and used for setting the driving current of the permanent magnet brushless motor to be zero when receiving the idle running detection signal so as to stop the operation of the cylindrical harvesting structure.
In the block chain mapping relation storage application system:
the density identification equipment is also connected with the current correction equipment and used for sending the real-time wheat plant density to the current correction equipment.
In the block chain mapping relation storage application system:
the current correction device and the density identification device are both arranged on a support rod above the cylindrical harvesting structure.
In the block chain mapping relation storage application system:
performing the rotation at different rotation speeds based on the received different driving currents includes: the greater the received drive current, the faster the rotation speed of the rotation is performed.
Fig. 3 is a flowchart illustrating steps of a block chain mapping relation storage application method according to another embodiment of the present invention, where the method includes:
the network storage node is arranged at the far end of the automatic harvester and used for storing the one-to-one corresponding relation between different wheat plant densities and the driving current based on a block chain mechanism;
using current correction equipment, locating in the automatic harvester, connecting with the network storage node through a network, and correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density;
using a permanent magnet brushless motor connected with the current correction device for executing rotation at different rotation speeds based on the received different drive currents;
a cylindrical harvesting structure is used, is arranged at the front end of the automatic harvester, is arranged close to the wheat field ground and is used for performing harvesting action on the wheat field area in front of the automatic harvester under the driving of a permanent magnet brushless motor;
Using directional snapshot equipment, arranging the directional snapshot equipment on a support rod above the cylindrical harvesting structure, and outputting a directional snapshot image, wherein the range covered by the shooting visual angle of the set lower snapshot image comprises a wheat field area harvested by the cylindrical harvesting structure;
using a dynamic processing device, connected to the directional capture device, for performing white balance processing on the received directional capture image based on a dynamic threshold to obtain and output a corresponding dynamic processing image;
using a density identification device connected with the dynamic processing device and used for identifying each wheat plant object from the dynamic processing image based on the appearance characteristics of the individual wheat plant and determining the corresponding real-time wheat plant density based on the number of each wheat plant object;
wherein determining a corresponding real-time wheat plant density based on the number of each wheat plant object comprises: the smaller the number of each wheat plant object is, the smaller the numerical value of the determined real-time wheat plant density is;
wherein, correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density comprises: the denser the received real-time wheat plant density is, the larger the corrected driving current of the permanent magnet brushless motor is.
Next, the specific steps of the block chain mapping relation storage application method of the present invention will be further described.
The block chain mapping relation storage application method may further include:
the idle running reminding equipment is connected with the density identification equipment and used for sending an idle running detection signal when the received real-time wheat plant density is less than or equal to a preset density threshold value;
the current correction device is further connected with the idle running reminding device and used for setting the driving current of the permanent magnet brushless motor to be zero when receiving the idle running detection signal so as to stop the operation of the cylindrical harvesting structure.
In the block chain mapping relation storage application method:
the density identification equipment is also connected with the current correction equipment and used for sending the real-time wheat plant density to the current correction equipment.
In the block chain mapping relation storage application method:
the current correction device and the density identification device are both arranged on a support rod above the cylindrical harvesting structure.
In the block chain mapping relation storage application method:
performing the rotation at different rotation speeds based on the received different driving currents includes: the greater the received drive current, the faster the rotation speed of the rotation is performed.
In addition, the dynamic processing equipment is internally provided with a memory chip for storing input data and output data of the dynamic processing equipment. The memory chip can be FLASH memory.
FLASH memory is one type of memory device. Flash memory is a Non-Volatile (Non-Volatile) memory that can hold data for a long time without current supply, and has storage characteristics equivalent to a hard disk, which is the basis of flash memory becoming a storage medium for various portable digital devices. The memory unit of the NAND flash memory adopts a serial structure, the reading and writing of the memory unit are carried out by taking a page and a block as a unit (one page comprises a plurality of bytes, a plurality of pages form a memory block, and the size of the NAND memory block is 8-32 KB).
Finally, it should be noted that each functional device in the embodiments of the present invention may be integrated into one processing device, or each device may exist alone physically, or two or more devices may be integrated into one device.
The functions, if implemented in the form of software-enabled devices and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A block chain mapping relation storage application system, the system comprising:
the network storage node is arranged at the far end of the automatic harvester and used for storing the one-to-one corresponding relation between different wheat plant densities and the driving current based on a block chain mechanism;
the current correction equipment is positioned in the automatic harvester, is connected with the network storage node through a network and is used for correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density;
a permanent magnet brushless motor connected with the current correction device for performing rotation at different rotation speeds based on the received different driving currents;
the cylindrical harvesting structure is arranged at the front end of the automatic harvester, is arranged close to the wheat field ground and is used for performing harvesting action on a wheat field area in front of the automatic harvester under the driving of the permanent magnet brushless motor;
the directional snapshot device is arranged on the supporting rod above the cylindrical harvesting structure and used for outputting a directional snapshot image, and the range covered by the shooting visual angle of the snapshot image comprises a wheat field area harvested by the cylindrical harvesting structure;
the dynamic processing equipment is connected with the directional snapshot equipment and used for executing white balance processing on the received directional snapshot image based on a dynamic threshold value so as to obtain and output a corresponding dynamic processing image;
The density identification device is connected with the dynamic processing device and used for identifying each wheat plant object from the dynamic processing image based on the appearance characteristics of the individual wheat plant and determining the corresponding real-time wheat plant density based on the number of each wheat plant object;
wherein determining a corresponding real-time wheat plant density based on the number of each wheat plant object comprises: the smaller the number of each wheat plant object is, the smaller the numerical value of the determined real-time wheat plant density is;
wherein, correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density comprises: the denser the received real-time wheat plant density is, the larger the corrected driving current of the permanent magnet brushless motor is.
2. The block chain mapping relationship storage application system of claim 1, wherein the system further comprises:
the idle running reminding equipment is connected with the density identification equipment and is used for sending an idle running detection signal when the received real-time wheat plant density is less than or equal to a preset density threshold value;
the current correction device is further connected with the idle running reminding device and used for setting the driving current of the permanent magnet brushless motor to be zero when receiving the idle running detection signal so as to stop the operation of the cylindrical harvesting structure.
3. The block chain mapping relationship storage application system of claim 2, wherein:
the density identification equipment is also connected with the current correction equipment and used for sending the real-time wheat plant density to the current correction equipment.
4. The block chain mapping relationship storage application system of claim 3, wherein:
the current correction device and the density identification device are both arranged on a support rod above the cylindrical harvesting structure.
5. The block chain mapping relationship storage application system of claim 4, wherein:
performing the rotation at different rotation speeds based on the received different driving currents includes: the greater the received drive current, the faster the rotation speed of the rotation is performed.
6. A block chain mapping relation storage application method is characterized by comprising the following steps:
the network storage node is arranged at the far end of the automatic harvester and used for storing the one-to-one corresponding relation between different wheat plant densities and the driving current based on a block chain mechanism;
using current correction equipment, locating in the automatic harvester, connecting with the network storage node through a network, and correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density;
Using a permanent magnet brushless motor connected with the current correction device for executing rotation at different rotation speeds based on the received different drive currents;
a cylindrical harvesting structure is used, is arranged at the front end of the automatic harvester, is arranged close to the wheat field ground and is used for performing harvesting action on the wheat field area in front of the automatic harvester under the driving of a permanent magnet brushless motor;
using directional snapshot equipment, arranging the directional snapshot equipment on a support rod above the cylindrical harvesting structure, and outputting a directional snapshot image, wherein the range covered by the shooting visual angle of the set lower snapshot image comprises a wheat field area harvested by the cylindrical harvesting structure;
using a dynamic processing device, connected to the directional capture device, for performing white balance processing on the received directional capture image based on a dynamic threshold to obtain and output a corresponding dynamic processing image;
using a density identification device connected with the dynamic processing device and used for identifying each wheat plant object from the dynamic processing image based on the appearance characteristics of the individual wheat plant and determining the corresponding real-time wheat plant density based on the number of each wheat plant object;
wherein determining a corresponding real-time wheat plant density based on the number of each wheat plant object comprises: the smaller the number of each wheat plant object is, the smaller the numerical value of the determined real-time wheat plant density is;
Wherein, correcting the driving current of the permanent magnet brushless motor based on the received real-time wheat plant density comprises: the denser the received real-time wheat plant density is, the larger the corrected driving current of the permanent magnet brushless motor is.
7. The method for block chain mapping relationship storage application according to claim 6, wherein the method further comprises:
the idle running reminding equipment is connected with the density identification equipment and used for sending an idle running detection signal when the received real-time wheat plant density is less than or equal to a preset density threshold value;
the current correction device is further connected with the idle running reminding device and used for setting the driving current of the permanent magnet brushless motor to be zero when receiving the idle running detection signal so as to stop the operation of the cylindrical harvesting structure.
8. The block chain mapping relationship storage application method of claim 7, wherein:
the density identification equipment is also connected with the current correction equipment and used for sending the real-time wheat plant density to the current correction equipment.
9. The block chain mapping relationship storage application method of claim 8, wherein:
the current correction device and the density identification device are both arranged on a support rod above the cylindrical harvesting structure.
10. The block chain mapping relationship storage application method of claim 9, wherein:
performing the rotation at different rotation speeds based on the received different driving currents includes: the greater the received drive current, the faster the rotation speed of the rotation is performed.
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CN112307988A (en) * | 2020-11-03 | 2021-02-02 | 泰州程顺制冷设备有限公司 | Self-adaptive control system for manufacturing workshop |
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CN101715675A (en) * | 2009-12-22 | 2010-06-02 | 江苏大学 | Photoelectric type corn growing density online detection method and device thereof |
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Effective date of registration: 20210827 Address after: 214000 Guangrui Road, Liangxi District, Wuxi City, Jiangsu Province 1906, 1908-257 Applicant after: WUXI BEIDOUXINGTONG INFORMATION TECHNOLOGY Co.,Ltd. Address before: 201505 No. 6055, Nanjin Road, Tinglin Industrial Development Zone, Jinshan District, Shanghai Applicant before: Han Ruixia |
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WW01 | Invention patent application withdrawn after publication |
Application publication date: 20201030 |