CN112106543A - Intelligent pruning knife and pruning statistical method - Google Patents
Intelligent pruning knife and pruning statistical method Download PDFInfo
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- CN112106543A CN112106543A CN202011110997.8A CN202011110997A CN112106543A CN 112106543 A CN112106543 A CN 112106543A CN 202011110997 A CN202011110997 A CN 202011110997A CN 112106543 A CN112106543 A CN 112106543A
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- trimming
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G3/00—Cutting implements specially adapted for horticultural purposes; Delimbing standing trees
- A01G3/02—Secateurs; Flower or fruit shears
- A01G3/033—Secateurs; Flower or fruit shears having motor-driven blades
- A01G3/037—Secateurs; Flower or fruit shears having motor-driven blades the driving means being an electric motor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06M—COUNTING MECHANISMS; COUNTING OF OBJECTS NOT OTHERWISE PROVIDED FOR
- G06M1/00—Design features of general application
- G06M1/08—Design features of general application for actuating the drive
- G06M1/10—Design features of general application for actuating the drive by electric or magnetic means
- G06M1/102—Design features of general application for actuating the drive by electric or magnetic means by magnetic or electromagnetic means
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Abstract
The invention provides an intelligent pruning shear and a pruning statistical method, wherein the intelligent pruning shear comprises the following steps: a trimming scissor holder; the trimming cutter body is connected with the trimming cutter frame and is used for performing operation trimming; the pressure sensor is used for collecting trimming pressure; the magnetic opening and closing sensors are arranged on two sides of the trimming cutter body and used for recording trimming times; the processor is arranged on the trimming knife rest, connected with the pressure sensor and the magnetic opening and closing sensor and used for receiving trimming pressure sent by the pressure sensor and trimming times sent by the magnetic opening and closing sensor; the processor determines the number of empty shearing times according to the shearing pressure and the empty shearing pressure value, determines the actual shearing times according to the shearing times, and comprises a data sending module which is used for sending the shearing times, the empty shearing times and the actual shearing times to the cloud platform. This intelligence pruning sword can improve and prune efficiency, and can be convenient for know and prune the quality.
Description
Technical Field
The invention relates to the technical field of plant pruning, in particular to an intelligent pruning knife and a pruning statistical method.
Background
The fruit tree pruning is a technical measure for cutting off a part of the nutritive organs of the fruit tree to adjust the crown structure and renew the branch composition. The crown of the fruit tree expands along with the increase of the tree age, and the branches and leaves are too many, which will cause the consequences of hollow outside, premature senility of tree vigor, serious big and small years, reduced fruit yield and quality, and the like. Timely and reasonable pruning can adjust reasonable distribution of branches and leaves, adjust growth and fruiting, adjust the proportion of branch composition and balance the plant group; thereby increasing the branch quantity of the fruit trees, promoting the fruit trees to bear fruits in advance and effectively improving the yield of the fruit trees.
Researches show that the operation, distribution, consumption and accumulation of nutrients in trees in the annual growth cycle can be carried out according to the normal growth and reproduction rhythm by requiring corresponding and proper branch proportion for different tree species and tree ages, and different tree species and varieties have different germination and branch formation habits.
However, most fruit growers do not pay attention to fruit tree pruning at present, the fruit tree pruning is a technological activity, the fruit tree pruning technology is uneven, the pruning is high in technical performance and labor-consuming, and the simplification of the pruning technology is a development trend in the future. Therefore, there is a need for an intelligent trimming blade that can improve the trimming efficiency and facilitate understanding of the trimming quality.
Disclosure of Invention
The invention aims to provide an intelligent pruning knife and a pruning statistical method, which can improve pruning efficiency and facilitate understanding of pruning quality.
The technical scheme provided by the invention is as follows:
the invention provides an intelligent pruning shear, comprising:
a trimming scissor holder;
the trimming cutter body is connected with the trimming cutter frame and is used for performing operation trimming;
the pressure sensor is used for collecting trimming pressure;
the magnetic opening and closing sensors are arranged on two sides of the trimming cutter body and used for recording trimming times;
the processor is arranged on the trimming knife rest, connected with the pressure sensor and the magnetic type opening and closing sensor and used for receiving the trimming pressure sent by the pressure sensor and the trimming times sent by the magnetic type opening and closing sensor;
wherein the processor determines the number of times of empty cutting according to the cutting pressure and the empty cutting pressure value, and determines the actual cutting number according to the cutting number,
the processor comprises a data sending module, and the data sending module is used for sending the trimming times, the empty trimming times and the actual trimming times to a cloud platform.
Through setting up pressure sensor, can gather the pruning pressure when pruning at every turn, inhale the formula through setting up magnetism and open and shut the sensor, can take notes the pruning number of times, cut the pressure value through cutting pressure and predetermined empty and compare, can confirm whether empty to cut to and empty the number of times of cutting, will prune the number of times again and subtract empty the number of times of cutting, just can obtain actual pruning number of times, make the intelligent pruning sword of this scheme can directly reflect the quality of pruning, need not follow-up statistics etc. be favorable to improving pruning efficiency.
In addition, the trimming times, the empty trimming times and the actual trimming times in the trimming process are sent to the cloud platform, so that subsequent trimming checking, analysis and the like can be facilitated.
Further, still include:
the driving device is arranged on the trimming cutter frame and is used for driving the trimming cutter body to perform trimming operation;
the power supply is arranged on the trimming knife rest, is connected with the driving device and is used for providing electric energy for the driving device;
a handle disposed at one side of the trimming blade holder;
and the power switch is arranged on the handle and used for switching on or off the driving device.
Through setting up power and drive arrangement, can make intelligent pruning sword prune automatically, can save the manpower, improve pruning efficiency, through setting up the handle for this device can also carry out artifical pruning, uses more in a flexible way, and through setting up switch on hand, can make things convenient for drive arrangement's opening and closing when picking up intelligent pruning sword.
Further, the pressure sensor is provided at the blade edge of the trimming body,
and/or the presence of a gas in the gas,
the pressure sensor is arranged on the handle.
Through setting up pressure sensor in the cutting edge department of pruning cutter body, can detect the pressure that the pruning cutter body received, prune pressure promptly, can also set up pressure sensor on hand, confirm to prune pressure according to the grip of hand, specifically can adjust according to user demand.
Further, still include: the GPS positioning module is used for positioning the current trimming tree to obtain the current trimming position;
the GPS positioning module is connected with the processor, and the processor sends the current trimming position and the trimming times, the empty trimming times and the actual trimming times of the current trimming tree corresponding to the current trimming position to the cloud platform.
Through setting up the GPS module, can fix a position each trees or each regional pruning trees of pruning to confirm data such as pruning number of times, empty number of times of cutting, the actual number of times of pruning that each pruning trees or each regional pruning trees correspond, in order to prune planning, guide etc..
Further, still include: the video sensor is used for recording the current pruning process of the pruned trees;
the video sensor is connected with the processor, and the processor sends the trimming process of the current trimmed tree and the trimming times, the empty trimming times and the actual trimming times corresponding to the current trimmed tree to the cloud platform.
Through setting up video sensor, can take notes pruning process, pruning time etc to carry out the analysis to the pruning process, improve the pruning quality.
Further, the processor determines a diameter of the pruned branch according to the pruning pressure and sends the diameter of the pruned branch to the cloud platform.
The diameter of the pruned branches can be calculated through pruning pressure, so that the branch distribution of the tree can be conveniently adjusted, and the tree can grow conveniently.
Further, the processor comprises an edge calculation module, and the edge calculation module is used for performing pressure calculation, idle shearing number calculation and actual shearing number calculation.
In addition, the invention also provides a pruning statistical method of the intelligent pruning knife, which comprises the following steps:
collecting trimming pressure through a pressure sensor;
the trimming times are recorded through a magnetic type opening and closing sensor;
comparing the trimming pressure with the empty shearing pressure value to determine whether empty shearing exists, and counting the number of times of empty shearing if the empty shearing exists;
determining actual trimming times according to the trimming times and the empty trimming times;
and sending the trimming times, the empty trimming times and the actual trimming times to a cloud platform.
Can gather the pruning pressure when pruning at every turn through pressure sensor, can record the pruning number of times through magnetism formula sensor that opens and shuts of inhaling, cut the pressure value through cutting pruning pressure and predetermined sky and compare, can confirm whether empty to cut to and empty the number of times of cutting, cut the number of times of cutting empty with pruning number of times again, just can obtain actual pruning number of times, make the intelligent pruning sword of this scheme can directly reflect the quality of pruning, need not follow-up statistics etc. be favorable to improving pruning efficiency.
In addition, the trimming times, the empty trimming times and the actual trimming times in the trimming process are sent to the cloud platform, so that subsequent trimming checking, analysis and the like can be facilitated.
Further, the step of comparing the trimming pressure with the empty trimming pressure value to determine whether empty trimming is performed further comprises the following steps:
if not, determining the diameter of the trimmed branch according to the trimming pressure;
the diameter of the pruned branches is sent to the cloud platform.
The diameter of the pruned branches can be calculated through pruning pressure, so that the branch distribution of the tree can be conveniently adjusted, and the tree can grow conveniently.
Further, the method also comprises the following steps:
positioning the current trimming tree through a GPS positioning module, and sending the current trimming position corresponding to the current trimming tree to a cloud platform;
the method comprises the steps of recording the current pruning process of pruning trees through a video sensor, and sending the pruning process to a cloud platform.
By arranging the GPS module, each trimmed tree or each area trimmed tree can be positioned, and data such as trimming times, empty trimming times, actual trimming times and the like corresponding to each trimmed tree or each area trimmed tree are determined, so that trimming planning, guidance and the like can be conveniently carried out; through setting up video sensor, can take notes pruning process, pruning time etc to carry out the analysis to the pruning process, improve the pruning quality.
According to the intelligent pruning knife and the pruning statistical method provided by the invention, the pruning pressure during each pruning can be collected by arranging the pressure sensor, the pruning times can be recorded by arranging the magnetic type opening and closing sensor, whether the empty pruning is carried out or not and the empty pruning times can be determined by comparing the pruning pressure with the preset empty pruning pressure value, and the actual pruning times can be obtained by subtracting the empty pruning times from the pruning times, so that the intelligent pruning knife can directly reflect the pruning quality, does not need subsequent statistics and the like, and is favorable for improving the pruning efficiency.
Drawings
The foregoing features, technical features, advantages and embodiments of the present invention will be further explained in the following detailed description of the preferred embodiments, which is to be read in connection with the accompanying drawings.
FIG. 1 is a schematic structural diagram of an embodiment of the present invention;
FIG. 2 is a schematic overall flow diagram of an embodiment of the present invention;
FIG. 3 is a schematic diagram of the calculation process of an embodiment of the present invention.
Reference numbers in the figures: 1-trimming scissor holders; 2-trimming the scissors body; 3-a pressure sensor; 4-magnetic open-close sensor; 5-a power supply; 6-a scissor switch; 7-a power switch; 8-GPS positioning module; 9-video sensor.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will be made with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort.
For the sake of simplicity, the drawings only schematically show the parts relevant to the present invention, and they do not represent the actual structure as a product. In addition, in order to make the drawings concise and understandable, components having the same structure or function in some of the drawings are only schematically illustrated or only labeled. In this document, "one" means not only "only one" but also a case of "more than one".
Example 1
One embodiment of the present invention, as shown in fig. 1 and 3, provides an intelligent trimming blade, which comprises a trimming blade frame 1, a trimming blade body 2, a pressure sensor 3, a magnetic opening and closing sensor 4 and a processor.
The trimming blade body 2 is connected to the trimming blade holder 1 for performing a work trimming, and specifically, the trimming blade body 2 and the trimming blade holder 1 are manufactured in the same manner as a general trimming blade.
The pressure sensor 3 is used for collecting trimming pressure; magnetic suction type opening and closing sensors 4 are arranged on two sides of the trimming cutter body 2 and used for recording trimming times.
The processor is arranged on the pruning knife rest 1, connected with the pressure sensor 3 and the magnetic opening and closing sensor 4 and used for receiving pruning pressure sent by the pressure sensor 3 and pruning times sent by the magnetic opening and closing sensor 4.
The processor determines the number of empty shearing times according to the shearing pressure and the empty shearing pressure value, determines the actual shearing times according to the shearing times, and comprises a data sending module which is used for sending the shearing times, the empty shearing times and the actual shearing times to the cloud platform.
Preferably, the processor comprises an edge calculation module, and the edge calculation module is used for performing pressure calculation, idle shearing number calculation and actual shearing number calculation.
Through setting up pressure sensor 3, can gather the pruning pressure when pruning at every turn, inhale the formula through setting up magnetism and open and shut sensor 4, can take notes the pruning number of times, cut the pressure value through cutting pressure and predetermined empty and compare, can confirm whether empty to cut to and empty the number of times of cutting, will prune the number of times again and subtract empty the number of times of cutting, just can obtain actual pruning number of times, make the intelligent pruning sword of this scheme can directly reflect the quality of pruning, do not need follow-up statistics etc. be favorable to improving pruning efficiency.
In addition, the trimming times, the empty trimming times and the actual trimming times in the trimming process are sent to the cloud platform, so that subsequent trimming checking, analysis and the like can be facilitated.
Preferably, the processor determines the diameter of the pruned branch from the pruning pressure and sends the diameter of the pruned branch to the cloud platform.
The diameter of the pruned branches can be calculated through pruning pressure, so that the branch distribution of the tree can be conveniently adjusted, and the tree can grow conveniently.
In this embodiment, the NB-LOT is selected as the processor, the processing procedure of the processor is as shown in fig. 3, and in other embodiments, similar elements may be selected for processing.
Example 2
In an embodiment of the present invention, as shown in fig. 1, on the basis of embodiment 1, the intelligent trimming blade further comprises a driving device, a power source 5, a handle and a power switch 7.
The driving device is arranged on the trimming knife rest 1 and is used for driving the trimming knife body 2 to perform trimming operation; the power supply 5 is arranged on the trimming knife rest 1, is connected with the driving device and is used for supplying electric energy to the driving device; the handle is arranged at one side of the trimming knife rest 1; a power switch 7 is provided on the handle for turning the drive on or off.
In addition, the intelligent trimming blade further comprises a scissors switch 6 for turning on or off the trimming when the driving means is turned on.
Through setting up power 5 and drive arrangement, can make intelligent pruning sword prune automatically, can save the manpower, improve pruning efficiency, through setting up the handle for this device can also carry out artifical pruning, uses more in a flexible way, through setting up switch 7 on the handle, can make things convenient for drive arrangement's opening and closing when picking up intelligent pruning sword.
Preferably, the pressure sensor 3 is provided at the blade edge of the trimming body 2, and/or the pressure sensor 3 is provided on the handle.
Through setting up pressure sensor 3 in the cutting edge department of pruning cutter body 2, can detect the pressure that pruning cutter body 2 received, prune pressure promptly, can also set up pressure sensor 3 on hand, confirm pruning pressure according to the grip of hand, specifically can adjust according to the user demand.
Example 3
In an embodiment of the present invention, as shown in fig. 1, on the basis of any one of the above embodiments, the intelligent trimming blade further includes: the GPS positioning module 8 is used for positioning the current trimming tree to obtain the current trimming position; the GPS positioning module 8 is connected with the processor, and the processor sends the current trimming position and the trimming times, the empty trimming times and the actual trimming times of the current trimming tree corresponding to the current trimming position to the cloud platform.
Through setting up GPS module 8, can fix a position each trees or each regional pruning trees of pruning to confirm data such as pruning number of times, empty number of times of cutting, the actual number of times of pruning that each pruning trees or each regional pruning trees correspond, in order to prune planning, guide etc..
Preferably, the intelligent pruning knife provided by the invention further comprises a video sensor 9, wherein the video sensor 9 is used for recording the current pruning process of pruning trees; the video sensor 9 is connected with the processor, and the processor sends the trimming process of the current trimmed tree and the trimming times, the empty trimming times and the actual trimming times corresponding to the current trimmed tree to the cloud platform.
Through setting up video sensor 9, can take notes pruning process, pruning time etc to carry out the analysis to the pruning process, improve the pruning quality.
Example 4
An embodiment of the present invention, as shown in fig. 2, further provides a pruning statistical method for an intelligent pruning shear, comprising the steps of:
and S1, collecting the trimming pressure through a pressure sensor.
And S2, recording the trimming times through a magnetic-type opening and closing sensor.
And S3, comparing the trimming pressure with the empty shearing pressure value to determine whether empty shearing exists, and counting the number of empty shearing if the empty shearing exists.
And S4, determining the actual trimming times according to the trimming times and the empty trimming times.
And S5, sending the trimming times, the empty trimming times and the actual trimming times to the cloud platform.
Can gather the pruning pressure when pruning at every turn through pressure sensor, can record the pruning number of times through magnetism formula sensor that opens and shuts of inhaling, cut the pressure value through cutting pruning pressure and predetermined sky and compare, can confirm whether empty to cut to and empty the number of times of cutting, cut the number of times of cutting empty with pruning number of times again, just can obtain actual pruning number of times, make the intelligent pruning sword of this scheme can directly reflect the quality of pruning, need not follow-up statistics etc. be favorable to improving pruning efficiency.
In addition, the trimming times, the empty trimming times and the actual trimming times in the trimming process are sent to the cloud platform, so that subsequent trimming checking, analysis and the like can be facilitated.
Preferably, the method compares the trimming pressure with the empty trimming pressure value, and after determining whether the empty trimming is performed, further includes the steps of: if not, determining the diameter of the trimmed branch according to the trimming pressure; the diameter of the pruned branches is sent to the cloud platform.
The diameter of the pruned branches can be calculated through pruning pressure, so that the branch distribution of the tree can be conveniently adjusted, and the tree can grow conveniently.
Preferably, the pruning statistical method for the intelligent pruning shears further provided by the scheme further comprises the following steps:
and positioning the current trimming tree through a GPS positioning module, and sending the current trimming position corresponding to the current trimming tree to the cloud platform.
The current pruning process of pruning trees is recorded through the video sensor, and the pruning process is sent to the cloud platform.
By arranging the GPS module, each trimmed tree or each area trimmed tree can be positioned, and data such as trimming times, empty trimming times, actual trimming times and the like corresponding to each trimmed tree or each area trimmed tree are determined, so that trimming planning, guidance and the like can be conveniently carried out; through setting up video sensor, can take notes pruning process, pruning time etc to carry out the analysis to the pruning process, improve the pruning quality.
It should be noted that the above embodiments can be freely combined as necessary. The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A smart trimming blade, comprising:
a trimming scissor holder;
the trimming cutter body is connected with the trimming cutter frame and is used for performing operation trimming;
the pressure sensor is used for collecting trimming pressure;
the magnetic opening and closing sensors are arranged on two sides of the trimming cutter body and used for recording trimming times;
the processor is arranged on the trimming knife rest, connected with the pressure sensor and the magnetic type opening and closing sensor and used for receiving the trimming pressure sent by the pressure sensor and the trimming times sent by the magnetic type opening and closing sensor;
wherein the processor determines the number of times of empty cutting according to the cutting pressure and the empty cutting pressure value, and determines the actual cutting number according to the cutting number,
the processor comprises a data sending module, and the data sending module is used for sending the trimming times, the empty trimming times and the actual trimming times to a cloud platform.
2. The smart trimming blade according to claim 1, further comprising:
the driving device is arranged on the trimming cutter frame and is used for driving the trimming cutter body to perform trimming operation;
the power supply is arranged on the trimming knife rest, is connected with the driving device and is used for providing electric energy for the driving device;
a handle disposed at one side of the trimming blade holder;
and the power switch is arranged on the handle and used for switching on or off the driving device.
3. The intelligent trimming blade according to claim 2, wherein: the pressure sensor is arranged at the cutting edge of the trimming body,
and/or the presence of a gas in the gas,
the pressure sensor is arranged on the handle.
4. The smart trimming blade according to claim 1, further comprising: the GPS positioning module is used for positioning the current trimming tree to obtain the current trimming position;
the GPS positioning module is connected with the processor, and the processor sends the current trimming position and the trimming times, the empty trimming times and the actual trimming times of the current trimming tree corresponding to the current trimming position to the cloud platform.
5. The smart trimming blade according to claim 1, further comprising: the video sensor is used for recording the current pruning process of the pruned trees;
the video sensor is connected with the processor, and the processor sends the trimming process of the current trimmed tree and the trimming times, the empty trimming times and the actual trimming times corresponding to the current trimmed tree to the cloud platform.
6. The intelligent trimming blade of claim 1, wherein: the processor determines the diameter of the pruned branch according to the pruning pressure and sends the diameter of the pruned branch to the cloud platform.
7. The intelligent trimming blade of claim 1, wherein: the processor comprises an edge calculation module, and the edge calculation module is used for calculating pressure, idle shearing times and actual shearing times.
8. A pruning statistical method of an intelligent pruning shear is characterized by comprising the following steps:
collecting trimming pressure through a pressure sensor;
the trimming times are recorded through a magnetic type opening and closing sensor;
comparing the trimming pressure with the empty shearing pressure value to determine whether empty shearing exists, and counting the number of times of empty shearing if the empty shearing exists;
determining actual trimming times according to the trimming times and the empty trimming times;
and sending the trimming times, the empty trimming times and the actual trimming times to a cloud platform.
9. The pruning statistical method for the intelligent pruning shear of claim 7, wherein the step of comparing the pruning pressure with the empty-shear pressure value to determine whether the pruning is empty comprises the following steps:
if not, determining the diameter of the trimmed branch according to the trimming pressure;
the diameter of the pruned branches is sent to the cloud platform.
10. The pruning statistical method of an intelligent pruning shear of claim 7, further comprising the steps of:
positioning the current trimming tree through a GPS positioning module, and sending the current trimming position corresponding to the current trimming tree to a cloud platform;
the method comprises the steps of recording the current pruning process of pruning trees through a video sensor, and sending the pruning process to a cloud platform.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011110997.8A CN112106543A (en) | 2020-10-16 | 2020-10-16 | Intelligent pruning knife and pruning statistical method |
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| CN202011110997.8A CN112106543A (en) | 2020-10-16 | 2020-10-16 | Intelligent pruning knife and pruning statistical method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115885711A (en) * | 2022-11-02 | 2023-04-04 | 德明通讯（上海）股份有限公司 | Intelligent pruning shears |
| WO2023113588A1 (en) * | 2021-12-17 | 2023-06-22 | Irga Sdn. Bhd. | An improved cutter |
| TWI833347B (en) * | 2022-09-08 | 2024-02-21 | 瑞麗刀剪股份有限公司 | Management system of hair cutting scissor |
-
2020
- 2020-10-16 CN CN202011110997.8A patent/CN112106543A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023113588A1 (en) * | 2021-12-17 | 2023-06-22 | Irga Sdn. Bhd. | An improved cutter |
| TWI833347B (en) * | 2022-09-08 | 2024-02-21 | 瑞麗刀剪股份有限公司 | Management system of hair cutting scissor |
| CN115885711A (en) * | 2022-11-02 | 2023-04-04 | 德明通讯（上海）股份有限公司 | Intelligent pruning shears |
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