Intelligent pruning knife and pruning statistics method

Abstract

The present invention provides an intelligent pruning knife and a pruning statistics method. The intelligent pruning knife includes: a pruning knife frame; a pruning knife body connected to the pruning knife frame for pruning; a pressure sensor for collecting pruning pressure; a magnetic opening and closing sensor arranged on both sides of the pruning knife body for recording the number of pruning; a processor arranged on the pruning knife frame and connected to the pressure sensor and the magnetic opening and closing sensor for receiving the pruning pressure sent by the pressure sensor and the number of pruning sent by the magnetic opening and closing sensor; wherein the processor determines the number of empty cuts according to the pruning pressure and the empty cut pressure value, and determines the actual number of pruning according to the number of pruning, and the processor includes a data sending module, and the data sending module is used to send the number of pruning, the number of empty cuts and the actual number of pruning to a cloud platform. The intelligent pruning knife can improve pruning efficiency and facilitate understanding of pruning quality.

Description

Technical Field

[0001] The invention relates to the technical field of plant pruning, and in particular to an intelligent pruning knife and a pruning statistics method. Background Art

[0002] Fruit tree pruning is a technical measure to cut off part of the nutrient organs of fruit trees to adjust the crown structure and renew the branch composition. The crown of a fruit tree expands with the age of the tree. Too many branches and leaves will inevitably lead to the consequences of dense outside and hollow inside, premature aging of the tree, serious alternate years, and reduced fruit yield and quality. Timely and reasonable pruning can adjust the reasonable distribution of branches and leaves, adjust growth and fruiting, adjust the proportion of branch composition and balance the group of plants; thereby increasing the number of branches of fruit trees, prompting fruit trees to bear fruit earlier and effectively increasing fruit tree yields.

[0003] Research has found that different tree species and ages require corresponding and appropriate branch ratios so that the circulation, distribution, consumption and accumulation of nutrients in the tree during the annual growth cycle can be coordinated according to the normal growth and reproductive rhythm. Different tree species and varieties have different germination and branching habits.

[0004] However, most fruit farmers do not pay attention to fruit tree pruning at present. Fruit tree pruning is a technical job, and fruit farmers' pruning skills are also uneven. In addition, pruning is highly technical and labor-intensive. Simplifying pruning technology is the future development trend. Therefore, there is a need for an intelligent pruning knife that can improve pruning efficiency and facilitate understanding of pruning quality. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent pruning knife and a pruning statistics method, which can improve pruning efficiency and facilitate understanding of pruning quality.

[0006] The technical solution provided by the present invention is as follows:

[0007] The present invention provides an intelligent pruning knife, comprising:

[0008] Pruning knife rack;

[0009] A pruning blade body connected to the pruning blade frame and used for pruning operations;

[0010] A pressure sensor for collecting trimming pressure;

[0011] Magnetic opening and closing sensors are arranged on both sides of the trimming blade body and are used to record the number of trimming times;

[0012] a processor, disposed on the pruning knife frame and connected to the pressure sensor and the magnetic opening and closing sensor, for receiving the pruning pressure sent by the pressure sensor and the pruning number sent by the magnetic opening and closing sensor;

[0013] wherein the processor determines the number of empty shears according to the shear pressure and the empty shear pressure value, and determines the actual number of shears according to the number of shears,

[0014] The processor includes a data sending module, and the data sending module is used to send the number of trimming times, the number of empty trimming times and the actual number of trimming times to a cloud platform.

[0015] By setting a pressure sensor, the trimming pressure of each trimming can be collected. By setting a magnetic opening and closing sensor, the number of trimming times can be recorded. By comparing the trimming pressure with the preset empty trimming pressure value, it can be determined whether it is an empty trimming and the number of empty trimming times. Then, the actual number of trimming times can be obtained by subtracting the number of empty trimming times from the number of trimming times. This allows the intelligent pruning knife of this solution to directly reflect the quality of trimming without the need for subsequent statistics, which is conducive to improving trimming efficiency.

[0016] In addition, the number of trimming times, the number of empty trimming times and the actual trimming times during the trimming process are sent to the cloud platform, which can facilitate subsequent trimming viewing and analysis.

[0017] Furthermore, it also includes:

[0018] A driving device, disposed on the pruning blade frame, for driving the pruning blade body to perform pruning operations;

[0019] A power supply, disposed on the pruning knife frame and connected to the driving device, for providing electrical energy to the driving device;

[0020] A handle, disposed on one side of the pruning knife frame;

[0021] A power switch is arranged on the handle and is used to turn on or off the driving device.

[0022] By providing a power source and a driving device, the smart pruning knife can be automatically pruned, which can save manpower and improve pruning efficiency. By providing a handle, the device can also be used for manual pruning, which is more flexible to use. By providing a power switch on the handle, the driving device can be conveniently turned on and off when the smart pruning knife is picked up.

[0023] Furthermore, the pressure sensor is arranged at the blade of the trimming knife body.

[0024] and / or,

[0025] The pressure sensor is arranged on the handle.

[0026] By arranging the pressure sensor at the blade of the pruning knife body, the pressure on the pruning knife body, that is, the pruning pressure, can be detected. The pressure sensor can also be arranged on the handle to determine the pruning pressure according to the grip force of the handle, which can be adjusted according to usage requirements.

[0027] Furthermore, it also includes: a GPS positioning module, wherein the GPS positioning module is used to locate the currently pruned tree and obtain the current pruning position;

[0028] The GPS positioning module is connected to the processor, and the processor sends the current pruning position and the pruning times, the empty pruning times and the actual pruning times of the currently pruned tree corresponding to the current pruning position to the cloud platform.

[0029] By setting up a GPS module, each pruned tree or pruned trees in each area can be located, and data such as the number of prunings, the number of empty prunings, the actual number of prunings, etc. corresponding to each pruned tree or pruned trees in each area can be determined, so as to facilitate pruning planning and guidance.

[0030] Furthermore, it also includes: a video sensor, the video sensor is used to record the pruning process of the current pruning tree;

[0031] The video sensor is connected to the processor, and the processor sends the pruning process of the current pruning tree and the pruning times, the empty pruning times and the actual pruning times corresponding to the current pruning tree to the cloud platform.

[0032] By setting up a video sensor, the pruning process, pruning time, etc. can be recorded to facilitate analysis of the pruning process and improve pruning quality.

[0033] Furthermore, 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.

[0034] The diameter of the pruned branches can also be calculated through pruning pressure, so as to adjust the branch distribution of the tree and promote the growth of the tree.

[0035] Furthermore, the processor includes an edge computing module, which is used to perform pressure calculation, empty trimming number calculation and actual trimming number calculation.

[0036] In addition, the present invention also provides a pruning statistics method of an intelligent pruning knife, comprising the steps of:

[0037] The trimming pressure is collected by a pressure sensor;

[0038] The number of trimming times is recorded by a magnetic opening and closing sensor;

[0039] The trimming pressure is compared with the empty trimming pressure value to determine whether the trimming is empty, and if so, the number of empty trimmings is counted;

[0040] Determine the actual number of pruning times according to the number of pruning times and the number of empty pruning times;

[0041] The number of trimming times, the number of empty trimming times and the actual number of trimming times are sent to a cloud platform.

[0042] The pressure sensor can collect the trimming pressure during each trimming, and the magnetic opening and closing sensor can record the number of trimming times. By comparing the trimming pressure with the preset empty trimming pressure value, it can be determined whether it is an empty trimming and the number of empty trimming times. Then, the actual number of trimming times can be obtained by subtracting the number of empty trimming times from the number of trimming times. This allows the intelligent pruning knife of this solution to directly reflect the quality of trimming without the need for subsequent statistics, which is conducive to improving trimming efficiency.

[0043] In addition, the number of trimming times, the number of empty trimming times and the actual trimming times during the trimming process are sent to the cloud platform, which can facilitate subsequent trimming viewing and analysis.

[0044] Furthermore, after comparing the trimming pressure with the empty trimming pressure value to determine whether the trimming is empty, the method further includes the following steps:

[0045] If not, the diameter of the pruned branch is determined according to the pruning pressure;

[0046] Send the diameter of pruned branches to the cloud platform.

[0047] The diameter of the pruned branches can also be calculated through pruning pressure, so as to adjust the branch distribution of the tree and promote the growth of the tree.

[0048] Furthermore, the method further comprises the steps of:

[0049] The currently pruned tree is located through the GPS positioning module, and the current pruning position corresponding to the currently pruned tree is sent to the cloud platform;

[0050] The pruning process of the current tree pruning is recorded by a video sensor and sent to the cloud platform.

[0051] By setting up a GPS module, it is possible to locate each pruned tree or pruned trees in each area, and determine data such as the number of prunings, number of empty prunings, actual number of prunings, etc. corresponding to each pruned tree or pruned trees in each area, so as to facilitate pruning planning and guidance, etc.; by setting up a video sensor, it is possible to record the pruning process, pruning time, etc., so as to analyze the pruning process and improve the pruning quality.

[0052] According to the intelligent pruning knife and pruning statistics method provided by the present invention, by setting a pressure sensor, the pruning pressure during each pruning can be collected, and by setting a magnetic opening and closing sensor, the number of pruning times can be recorded. By comparing the pruning pressure with a preset empty pruning pressure value, it can be determined whether the pruning is empty and the number of empty pruning times. Then, the number of empty pruning times is subtracted from the number of pruning times to obtain the actual number of pruning times. Therefore, the intelligent pruning knife of the present solution can directly reflect the quality of pruning without the need for subsequent statistics, which is conducive to improving pruning efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The preferred implementation scheme will be described below in a clear and understandable manner with reference to the accompanying drawings to further illustrate the above-mentioned characteristics, technical features, advantages and implementation methods of the present solution.

[0054] Figure 1 is a schematic structural diagram of an embodiment of the present invention;

[0055] Figure 2 It is a schematic diagram of the overall process of an embodiment of the present invention;

[0056] Figure 3 It is a schematic diagram of calculation processing of an embodiment of the present invention.

[0057] Numbers in the figure: 1-pruning knife holder; 2-pruning knife body; 3-pressure sensor; 4-magnetic opening and closing sensor; 5-power supply; 6-scissor switch; 7-power switch; 8-GPS positioning module; 9-video sensor. DETAILED DESCRIPTION

[0058] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings and other implementation methods can be obtained based on these drawings without creative work.

[0059] In order to simplify the drawings, only the parts related to the present invention are schematically shown in each figure, and they do not represent the actual structure of the product. In addition, in order to simplify the drawings and facilitate understanding, in some figures, only one of the parts with the same structure or function is schematically drawn or marked. In this article, "one" not only means "only one", but also means "more than one".

[0060] Example 1

[0061] One embodiment of the present invention, as Figure 1 and Figure 3As shown, the present invention provides an intelligent pruning knife, comprising a pruning knife frame 1, a pruning knife body 2, a pressure sensor 3, a magnetic opening and closing sensor 4 and a processor.

[0062] The trimmer body 2 is connected to the trimmer frame 1 for performing trimming operations. Specifically, the trimmer body 2 and the trimmer frame 1 are manufactured in the same manner as common trimmers.

[0063] The pressure sensor 3 is used to collect the trimming pressure; the magnetic opening and closing sensors 4 are arranged on both sides of the trimming blade body 2 to record the number of trimming times.

[0064] The processor is arranged on the pruning knife frame 1 and connected with the pressure sensor 3 and the magnetic opening and closing sensor 4 , and is used for receiving the pruning pressure sent by the pressure sensor 3 and the pruning times sent by the magnetic opening and closing sensor 4 .

[0065] Among them, the processor determines the number of empty trimmings according to the trimming pressure and the empty trimming pressure value, and determines the actual trimming number according to the trimming number. The processor includes a data sending module, which is used to send the trimming number, the empty trimming number and the actual trimming number to the cloud platform.

[0066] Preferably, the processor includes an edge computing module, which is used to perform pressure calculation, empty trimming number calculation and actual trimming number calculation.

[0067] By setting the pressure sensor 3, the trimming pressure during each trimming can be collected. By setting the magnetic opening and closing sensor 4, the number of trimming times can be recorded. By comparing the trimming pressure with the preset empty trimming pressure value, it can be determined whether the trimming is empty and the number of empty trimming times. Then, the number of empty trimming times is subtracted from the number of trimming times to get the actual number of trimming times. This allows the intelligent pruning knife of this scheme to directly reflect the quality of trimming without the need for subsequent statistics, which is beneficial to improving the trimming efficiency.

[0068] In addition, the number of trimming times, the number of empty trimming times and the actual trimming times during the trimming process are sent to the cloud platform, which can facilitate subsequent trimming viewing and analysis.

[0069] Preferably, the processor determines the diameter of the pruned branch based on the pruning pressure and sends the diameter of the pruned branch to the cloud platform.

[0070] The diameter of the pruned branches can also be calculated through pruning pressure, so as to adjust the branch distribution of the tree and promote the growth of the tree.

[0071] In this solution, the processor is NB-LOT, and the processing process of the processor is as follows: Figure 3 As shown, in other embodiments, similar elements may also be selected for processing.

[0072] Example 2

[0073] One embodiment of the present invention, as Figure 1 As shown, based on Example 1, the smart pruning knife provided by the present invention further includes a driving device, a power supply 5, a handle and a power switch 7.

[0074] The driving device is arranged on the pruning knife frame 1, and is used to drive the pruning knife body 2 to perform pruning operations; the power supply 5 is arranged on the pruning knife frame 1 and is connected to the driving device, and is used to provide power to the driving device; the handle is arranged on one side of the pruning knife frame 1; the power switch 7 is arranged on the handle, and is used to turn on or off the driving device.

[0075] In addition, the intelligent pruning knife further comprises a scissor switch 6, which is used to turn pruning on or off when the driving device is turned on.

[0076] By providing a power source 5 and a driving device, the intelligent pruning knife can be automatically pruned, which can save manpower and improve pruning efficiency. By providing a handle, the device can also be used for manual pruning, which is more flexible to use. By providing a power switch 7 on the handle, the driving device can be conveniently turned on and off when picking up the intelligent pruning knife.

[0077] Preferably, the pressure sensor 3 is arranged at the blade of the trimming blade body 2, and / or the pressure sensor 3 is arranged on the handle.

[0078] By setting the pressure sensor 3 at the blade of the pruning knife body 2, the pressure on the pruning knife body 2, that is, the pruning pressure, can be detected. The pressure sensor 3 can also be set on the handle to determine the pruning pressure according to the grip force of the handle, which can be adjusted according to usage requirements.

[0079] Example 3

[0080] One embodiment of the present invention, as Figure 1 As shown, based on any of the above embodiments, the smart pruning knife provided by the present invention also includes: a GPS positioning module 8, the GPS positioning module 8 is used to locate the current pruned tree and obtain the current pruning position; the GPS positioning module 8 is connected to the processor, and the processor sends the current pruning position and the pruning times, empty pruning times and actual pruning times of the current pruning tree corresponding to the current pruning position to the cloud platform.

[0081] By setting up the GPS module 8, each pruned tree or each area of ​​pruned trees can be located, and the data such as the number of pruning, the number of un-pruned times, the actual number of pruning, etc. corresponding to each pruned tree or each area of ​​pruned trees can be determined, so as to facilitate pruning planning, guidance, etc.

[0082] Preferably, the smart pruning knife provided by the present invention also includes a video sensor 9, which is used to record the pruning process of the current pruned tree; the video sensor 9 is connected to the processor, and the processor sends the pruning process of the current pruned tree and the number of prunings, the number of empty prunings and the actual pruning times corresponding to the current pruned tree to the cloud platform.

[0083] By providing the video sensor 9, the trimming process, trimming time, etc. can be recorded, so as to analyze the trimming process and improve the trimming quality.

[0084] Example 4

[0085] One embodiment of the present invention, as Figure 2 As shown, the present invention also provides a pruning statistics method of an intelligent pruning knife, comprising the steps of:

[0086] S1. Collect trimming pressure through a pressure sensor.

[0087] S2. Record the number of trimming times through the magnetic opening and closing sensor.

[0088] S3. Compare the trimming pressure with the empty trimming pressure value to determine whether the trimming is empty. If so, count the number of empty trimming times.

[0089] S4. Determine the actual number of trimming times according to the number of trimming times and the number of empty trimming times.

[0090] S5. Send the number of trimming times, number of empty trimming times and actual trimming times to the cloud platform.

[0091] The pressure sensor can collect the trimming pressure during each trimming, and the magnetic opening and closing sensor can record the number of trimming times. By comparing the trimming pressure with the preset empty trimming pressure value, it can be determined whether it is an empty trimming and the number of empty trimming times. Then, the actual number of trimming times can be obtained by subtracting the number of empty trimming times from the number of trimming times. This allows the intelligent pruning knife of this solution to directly reflect the quality of trimming without the need for subsequent statistics, which is conducive to improving trimming efficiency.

[0092] In addition, the number of trimming times, the number of empty trimming times and the actual trimming times during the trimming process are sent to the cloud platform, which can facilitate subsequent trimming viewing and analysis.

[0093] Preferably, after comparing the pruning pressure with the empty shearing pressure value to determine whether empty shearing is performed, the method further includes the following steps: if not, determining the diameter of the pruned branch according to the pruning pressure; and sending the diameter of the pruned branch to the cloud platform.

[0094] The diameter of the pruned branches can also be calculated through pruning pressure, so as to adjust the branch distribution of the tree and promote the growth of the tree.

[0095] Preferably, the pruning statistics method of the intelligent pruning knife provided in this solution also includes the steps of:

[0096] The currently pruned tree is located through the GPS positioning module, and the current pruning position corresponding to the currently pruned tree is sent to the cloud platform.

[0097] The pruning process of the current tree is recorded through video sensors and sent to the cloud platform.

[0098] By setting up a GPS module, it is possible to locate each pruned tree or pruned trees in each area, and determine data such as the number of prunings, number of empty prunings, actual number of prunings, etc. corresponding to each pruned tree or pruned trees in each area, so as to facilitate pruning planning and guidance, etc.; by setting up a video sensor, it is possible to record the pruning process, pruning time, etc., so as to analyze the pruning process and improve the pruning quality.

[0099] It should be noted that the above embodiments can be freely combined as needed. The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention.

Claims

1. A pruning statistics method for an intelligent pruning knife, characterized in that: The smart trimming knife comprises: Pruning knife rack; A pruning blade body connected to the pruning blade frame and used for pruning operations; A pressure sensor for collecting trimming pressure; Magnetic opening and closing sensors are arranged on both sides of the trimming blade body and are used to record the number of trimming times; a processor, disposed on the pruning knife frame and connected to the pressure sensor and the magnetic opening and closing sensor, for receiving the pruning pressure sent by the pressure sensor and the pruning number sent by the magnetic opening and closing sensor; wherein the processor determines the number of empty shears according to the shear pressure and the empty shear pressure value, and determines the actual number of shears according to the number of shears, The processor comprises a data sending module, and the data sending module is used to send the number of trimming times, the number of empty trimming times and the actual number of trimming times to a cloud platform; The smart trimmer also includes: A driving device, disposed on the pruning blade frame, for driving the pruning blade body to perform pruning operations; A power supply, disposed on the pruning knife frame and connected to the driving device, for providing electrical energy to the driving device; A handle, disposed on one side of the pruning knife frame; A power switch, disposed on the handle, for turning on or off the drive device; By setting the power supply and the driving device, the intelligent pruning knife can be automatically pruned. The pruning statistics method includes the steps of: collecting the trimming pressure by means of the pressure sensor; The number of trimming times is recorded by the magnetic opening and closing sensor; The trimming pressure is compared with the empty trimming pressure value to determine whether empty trimming is performed, and if so, the number of empty trimmings is counted; Determine the actual number of pruning times according to the number of pruning times and the number of empty pruning times; The number of trimming times, the number of empty trimming times and the actual number of trimming times are sent to a cloud platform.

2. The pruning statistics method of the intelligent pruning knife according to claim 1, characterized in that: After comparing the trimming pressure with the empty trimming pressure value to determine whether the trimming is empty, the method further includes the following steps: If not, the diameter of the pruned branch is determined according to the pruning pressure; Send the diameter of pruned branches to the cloud platform.

3. The pruning statistics method of the intelligent pruning knife according to claim 1, characterized in that: Also includes the steps: The currently pruned tree is located through the GPS positioning module, and the current pruning position corresponding to the currently pruned tree is sent to the cloud platform; The pruning process of the current tree pruning is recorded by a video sensor and sent to the cloud platform.

4. The pruning statistics method of the intelligent pruning knife according to claim 1, characterized in that: The pressure sensor is arranged at the blade of the trimmer body. and / or, The pressure sensor is arranged on the handle.

5. The pruning statistics method of the intelligent pruning knife according to claim 1, characterized in that: Also includes: A GPS positioning module, wherein the GPS positioning module is used to locate the currently pruned tree and obtain the current pruning position; The GPS positioning module is connected to the processor, and the processor sends the current pruning position and the pruning times, the empty pruning times and the actual pruning times of the currently pruned tree corresponding to the current pruning position to the cloud platform.

6. The pruning statistics method of the intelligent pruning knife according to claim 1, characterized in that: Also includes: A video sensor, wherein the video sensor is used to record the pruning process of the current pruning tree; The video sensor is connected to the processor, and the processor sends the pruning process of the current pruning tree and the pruning times, the empty pruning times and the actual pruning times corresponding to the current pruning tree to the cloud platform.

7. The pruning statistics method of the intelligent pruning knife according to claim 1, characterized in that: The processor determines the diameter of the pruned branch according to the pruned pressure, and sends the diameter of the pruned branch to the cloud platform.

8. The pruning statistics method of an intelligent pruning knife according to claim 1, characterized in that: The processor includes an edge computing module, which is used to perform pressure calculation, empty trimming number calculation and actual trimming number calculation.

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