Transaction data query system based on block chain

Abstract

A blockchain-based transaction data query system disclosed by the present invention comprises a feather shape analysis module and a feather quantity determination module, the feather shape analysis module is electrically connected with the feather quantity determination module, and the feather shape analysis module is used for analyzing the integral shape integrity condition of duck feathers and determining the feather quantity of the duck feathers. The feather quantity judgment module is used for measuring the feather quantity of the duck, and the feather shape analysis module comprises a sound stimulation module, an action posture comparison module, a camera module, an image storage module, a feather shape comparison module and a feather classification module. The feather quantity judgment module comprises an infrared induction module, an infrared contour fitting module, a camera module, an image contour fitting module, a contour comparison module and a feather quantity calculation module, the feather classification module is electrically connected with the feather quantity calculation module, and the feather shape analysis module is electrically connected with the infrared induction module. The device has the characteristics of high practicability and energy conservation.

Description

Technical Field

[0001] The present invention relates to the technical field of blockchain, and in particular to a transaction data query system based on blockchain. Background Art

[0002] Blockchain is a shared database that stores data, transmits data point-to-point, uses consensus mechanisms, and uses encryption algorithms. The transaction data query method and system of blockchain can effectively query the transaction data of high-quality and low-quality duck feathers in duck down factories.

[0003] The existing duck feather factories use the conventional method of multiplying the physical weight by the price per gram to obtain the total amount for the transaction query of duck feathers of different levels and then enter it into the system. The existing method requires the duck to be plucked to distinguish the quality of the duck feathers before trading. The transaction data can only be queried after the transaction is completed. It is not possible to distinguish the damage of the duck feathers by observing the complete image in advance, nor can the number of duck feathers be calculated in advance, so it is not practical and convenient. Therefore, it is necessary to design a transaction data query method and system based on blockchain that can distinguish the damage category of duck feathers without plucking the duck feathers and calculate the number of duck feathers in advance by contour comparison. Summary of the invention

[0004] The purpose of the present invention is to provide a transaction data query method and system based on blockchain to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a transaction data query method and system based on blockchain, comprising a feather quantity determination module and a feather shape analysis module, wherein the feather quantity determination module and the feather shape analysis module;

[0006] According to the above technical solution, the feather shape analysis module includes a sound stimulation module, a motion posture comparison module, a camera module, an image storage module, a feather shape comparison module, and a feather classification module. The sound stimulation module is electrically connected to the motion posture comparison module, the motion posture comparison module is electrically connected to the camera module, the camera module is electrically connected to the image storage module, the image storage module is electrically connected to the feather shape comparison module, and the feather shape comparison module is electrically connected to the feather classification module. The feather quantity determination module includes an infrared sensing module, an infrared contour fitting module, a camera module, an image contour fitting module, a contour comparison module, and a feather quantity calculation module. The infrared sensing module is electrically connected to the infrared contour fitting module, the infrared contour fitting module is electrically connected to the camera module, the image contour fitting module is electrically connected to the contour comparison module, and the contour comparison module is electrically connected to the feather quantity calculation module.

[0007] The sound stimulation module is used to play dynamic music to stimulate the duck to open its wings, so as to observe the overall feather condition. The action posture comparison module is used to judge whether the duck has opened its wings according to the duck shape fitted by the infrared sensing module through the infrared contour. If the wings are opened, the camera module is triggered to turn on to achieve energy saving. The camera module is used to take pictures of the duck with its wings opened to observe the overall feather condition. The image storage module is used to save the pictures of the duck feathers taken by the camera module. The feather shape comparison module is used to distinguish the feathers according to the degree of damage of the appearance shape of the duck feathers. The feather classification module is used to classify the duck feathers distinguished by the feather comparison module into high-quality duck feathers and low-quality duck feathers. The response module is used to detect the presence of the duck by infrared sensing, and use the infrared contour fitting module to fit the overall contour of the duck. The infrared contour fitting module is used to fit the body contour of the duck according to the thermal imaging signal of the infrared sensing module. The camera module is used to capture the overall appearance of the duck. The image contour fitting module is used to fit the overall contour of the duck from the overall appearance of the duck captured by the camera module. The contour comparison module is used to compare the area of ​​the duck contour fitted by the image contour fitting module with the contour fitted by the infrared. The feather amount calculation module is used to calculate the amount of feathers of the duck based on the image fitted by the image contour fitting module and the image fitted by the infrared contour fitting module.

[0008] According to the above technical solution, the working steps of the feather shape analysis module are as follows:

[0009] S1: Play dynamic music to stimulate the duck to open its wings and stretch its body;

[0010] S2: Start the infrared sensing module to scan the duck, use the infrared contour fitting module to scan the duck contour according to the infrared imaging of the duck contour, and then compare the duck contour image with the action posture comparison module to see if it meets the conditions;

[0011] S3: If the duck is in the open-wing posture after comparing the action posture, the camera module is started to take pictures of the duck and the pictures are saved through the image storage module to observe the feather quality of the duck. If the duck is not in the open-wing posture after comparing the action posture, the camera function is not started, which can save energy and prevent useless pictures from occupying the memory.

[0012] S4: According to the feather shape comparison module, the feathers are compared for shape integrity and distinguished into high-quality duck feathers and low-quality duck feathers.

[0013] According to the above technical solution, the specific requirements of the S3 duck motion posture comparison module are as follows:

[0014] S5: When the infrared sensing module scans the duck's outline, the infrared outline module is used to fit the entire outline of the duck, and the action posture comparison module is used for comparison. The entire duck's body outline is divided into four areas. The small oval similar to the head shape represents the head area, the rectangle similar to the torso shape represents the torso part, the area close to the wing shape represents the wing, and the area close to the leg shape represents the leg area;

[0015] S6: When the scanned outline is head, body, and legs from top to bottom, and wings, body and wings from left to right, with the wings on both sides of the body and stretched to 180° on both sides, and the leg area is under the body and opened at 60°, it means that the duck is in a relaxed state and all feathers can be observed, so the camera module can be turned on;

[0016] S7: When the scanned outline shows that the head shape is above the body, there is no wing area on both sides of the body that stretches 180 degrees to both sides, and the leg area is not opened at 60 degrees under the body, it means that the duck is not in a relaxed state at this time, and the obscured feathers cannot be observed. Therefore, the camera module will not be turned on, and the camera resources will not be wasted.

[0017] According to the above technical solution, the specific comparison criteria of the S4 feather shape comparison module are as follows:

[0018] The overall outline of the duck feather is divided into two areas. The root tube shape close to the feather root represents the feather stem part, and the upper and lower sharp ellipse part close to the feather shape represents the feather part.

[0019] Use the camera module to take a picture of the feather, and use the contour comparison module to compare it. If the root tubular feather stem is not broken or bent, the feather part is smooth and regular around and there is no lack of down, then the feather is a high-quality feather; if the feather stem is broken or bent or the feather part is not smooth and regular around, it is a low-quality feather.

[0020] According to the above technical solution, the feather quantity determination module includes an infrared sensing module, an infrared contour fitting module, a camera module, an image contour fitting module, a contour comparison module and a feather quantity calculation module, and the operation process is as follows:

[0021] S8: Start the infrared sensing module to detect the presence of the duck using infrared sensing, and fit the outline of the duck's body through the thermal imaging signal in the infrared outline fitting module;

[0022] S9: After the infrared contour fitting module fits the overall body contour of the duck, the camera module takes a photo of the actual duck;

[0023] S10: performing image contour fitting on the image captured by the camera module using an image contour fitting module, and comparing a contour area obtained by image contour fitting with a contour area obtained by infrared contour fitting using a contour comparison module;

[0024] S11: Finally, the feather quantity calculation module is used to calculate the feather quantity of the duck.

[0025] According to the above technical solution, the specific method of the contour comparison module in the above S9 is as follows:

[0026] When the area ratio of the image contour fitting module and the infrared contour fitting module in the duck's feather quantity determination module is equal to 2, it means that the feather area is 1:1 to the body area, and it is a duck with medium feathers. When the area ratio of the image contour fitting module and the infrared contour fitting module in the duck's feather quantity determination module is greater than 2, it is a duck with a lot of feathers. When the area ratio of the image contour fitting module and the infrared contour fitting module in the duck's feather quantity determination module is less than 2, it is a duck with a little feathers.

[0027] According to the above technical solution, the specific method of the feather quantity calculation module in the above S10 is as follows:

[0028] The duck shapes after infrared contour fitting module and image contour fitting module appear irregular circles, so their areas can be calculated by Πr 2 The specific formula for calculating the feather volume is as follows:

[0029]

[0030] Where Q is the total amount of duck feathers, S is the duck area under the image contour fitting module, P is the duck area under the infrared contour fitting module, r1 is the circle radius under the image contour fitting module, r2 is the circle radius under the infrared contour fitting module, and K is the amount of feathers under the duck's skin per square centimeter.

[0031] According to the above technical solution, the value determination module includes a value calculation module;

[0032] The value calculation module is used to calculate the transaction amount of high-quality duck feathers and low-quality duck feathers.

[0033] According to the above technical solution, the specific calculation formula of the value calculation module is as follows:

[0034] W=W1+W2=Q1I1+Q2I2,

[0035] Among them, W is the total transaction amount of all duck feathers, W1 is the transaction amount of high-quality duck feathers, Q1 is the number of high-quality duck feathers, I1 is the unit price of high-quality duck feathers, W2 is the transaction amount of low-quality duck feathers, Q2 is the number of low-quality duck feathers, and I2 is the unit price of low-quality duck feathers.

[0036] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention uses sound to stimulate the duck to stretch its wings and stretch its whole body, uses the camera module to take the most comprehensive feather picture, analyzes whether the duck feathers are high-quality duck feathers or low-quality duck feathers, and at the same time uses the contour posture comparison module to determine whether the duck stretches its whole body. If it is not in this posture, there is no need to turn on the camera module, which reduces energy consumption. The infrared sensing module obtains the duck body contour map according to the infrared contour fitting module, and the image contour fitting is used to obtain the duck entity contour map. The feather quantity calculation module obtains the number of duck feathers. During this calculation period, the contour comparison module is used to distinguish between a large number of duck feathers and a small number of duck feathers. The present invention can obtain transaction data in advance and make reasonable use of computing resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0038] Figure 1 It is a schematic diagram of the overall principle of the present invention; DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] See also Figure 1 ,The present invention provides a technical solution: a transaction data query method and system based on blockchain;

[0041] The feather shape analysis module is used to analyze the overall shape and integrity of the duck's feathers, and the feather quantity determination module is used to measure the amount of the duck's feathers.

[0042] The feather shape analysis module comprises a sound stimulation module, a motion posture comparison module, a camera module, an image storage module, a feather shape comparison module, and a feather classification module. The sound stimulation module is electrically connected to the motion posture comparison module, the motion posture comparison module is electrically connected to the camera module, the camera module is electrically connected to the image storage module, the image storage module is electrically connected to the feather shape comparison module, and the feather shape comparison module is electrically connected to the feather classification module. The feather quantity determination module comprises an infrared sensing module, an infrared contour fitting module, a camera module, an image contour fitting module, a contour comparison module, and a feather quantity calculation module. The infrared sensing module is electrically connected to the infrared contour fitting module, the infrared contour fitting module is electrically connected to the camera module, the image contour fitting module is electrically connected to the contour comparison module, and the contour comparison module is electrically connected to the feather quantity calculation module.

[0043] The sound stimulation module is used to play dynamic music to stimulate the duck to open its wings, so as to observe the overall feather condition. The motion posture comparison module is used to determine whether the duck has opened its wings according to the duck shape fitted by the infrared sensing module through the infrared contour. If the wings are opened, the camera module is triggered to turn on to achieve energy saving. The camera module is used to take pictures of the duck with open wings to observe the overall feather condition. The image storage module is used to save the photos of the duck feathers taken by the camera module. The feather shape comparison module is used to distinguish feathers according to the degree of damage of the appearance shape of the duck feathers. The feather classification module is used to classify the duck feathers distinguished by the feather comparison module into high-quality duck feathers and low-quality duck feathers. The infrared sensing The module is used to detect the presence of ducks by infrared sensing, and use the infrared contour fitting module to fit the overall contour of the duck. The infrared contour fitting module is used to fit the body contour of the duck according to the thermal imaging signal of the infrared sensing module. The camera module is used to capture the overall appearance of the duck. The image contour fitting module is used to fit the overall contour of the duck from the overall appearance of the duck captured by the camera module. The contour comparison module is used to compare the area of ​​the duck contour fitted by the image contour fitting module with the contour fitted by the infrared. The feather amount calculation module is used to calculate the amount of feathers of the duck based on the image fitted by the image contour fitting module and the image fitted by the infrared contour fitting module.

[0044] The working steps of the feather shape analysis module are as follows:

[0045] S1: Play dynamic music to stimulate the duck to open its wings and stretch its body;

[0046] S2: Start the infrared sensing module to scan the duck, use the infrared contour fitting module to scan the duck contour according to the infrared imaging of the duck contour, and then compare the duck contour image with the action posture comparison module to see if it meets the conditions;

[0047] S3: If the duck is in the open-wing posture after comparing the action posture, the camera module is started to take pictures of the duck and the pictures are saved through the image storage module to observe the feather quality of the duck. If the duck is not in the open-wing posture after comparing the action posture, the camera function is not started, which can save energy and prevent useless pictures from occupying the memory.

[0048] S4: According to the feather shape comparison module, the feathers are compared for shape integrity and distinguished into high-quality duck feathers and low-quality duck feathers.

[0049] The specific requirements of the above S3 duck motion posture comparison module are as follows:

[0050] S5: When the infrared sensing module scans the duck's outline, the infrared outline module is used to fit the entire outline of the duck, and the action posture comparison module is used for comparison. The entire duck's body outline is divided into four areas. The small oval similar to the head shape represents the head area, the rectangle similar to the torso shape represents the torso part, the area close to the wing shape represents the wing, and the area close to the leg shape represents the leg area;

[0051] S6: When the scanned outline is head, body, and legs from top to bottom, and wings, body and wings from left to right, with the wings on both sides of the body and stretched to 180° on both sides, and the leg area is under the body and opened at 60°, it means that the duck is in a relaxed state and all feathers can be observed, so the camera module can be turned on;

[0052] S7: When the scanned outline shows that the head shape is above the body, there is no wing area on both sides of the body that stretches 180 degrees to both sides, and the leg area is not opened at 60 degrees under the body, it means that the duck is not in a relaxed state at this time, and the obscured feathers cannot be observed. Therefore, the camera module will not be turned on, and the camera resources will not be wasted.

[0053] The specific comparison criteria of the above-mentioned S4 feather shape comparison module are as follows:

[0054] The overall outline of the duck feather is divided into two areas. The root tube shape close to the feather root represents the feather stem part, and the upper and lower sharp ellipse part close to the feather shape represents the feather part.

[0055] Use the camera module to take a picture of the feather, and use the contour comparison module to compare it. If the root tubular feather stem is not broken or bent, the feather part is smooth and regular around and there is no lack of down, then the feather is a high-quality feather; if the feather stem is broken or bent or the feather part is not smooth and regular around, it is a low-quality feather.

[0056] The process of the feather volume determination module is as follows:

[0057] S8: Start the infrared sensing module to detect the presence of the duck using infrared sensing, and fit the outline of the duck's body through the thermal imaging signal in the infrared outline fitting module;

[0058] S9: After the infrared contour fitting module fits the overall body contour of the duck, the camera module takes a photo of the actual duck;

[0059] S10: performing image contour fitting on the image captured by the camera module using an image contour fitting module, and comparing a contour area obtained by image contour fitting with a contour area obtained by infrared contour fitting using a contour comparison module;

[0060] S11: Finally, the feather quantity calculation module is used to calculate the feather quantity of the duck.

[0061] The specific method of the contour comparison module in the above S9 is as follows:

[0062] When the area ratio of the image contour fitting module and the infrared contour fitting module in the duck's feather quantity determination module is equal to 2, it means that the feather area is 1:1 to the body area, and it is a duck with medium feathers. When the area ratio of the image contour fitting module and the infrared contour fitting module in the duck's feather quantity determination module is greater than 2, it is a duck with a lot of feathers. When the area ratio of the image contour fitting module and the infrared contour fitting module in the duck's feather quantity determination module is less than 2, it is a duck with a little feathers.

[0063] The specific method of the feather quantity calculation module in the above S10 is as follows:

[0064] The duck shapes after infrared contour fitting module and image contour fitting module appear irregular circles, so their areas can be calculated by Πr 2 The specific formula for calculating the feather volume is as follows:

[0065]

[0066] Where Q is the total amount of duck feathers, S is the duck area under the image contour fitting module, P is the duck area under the infrared contour fitting module, r1 is the circle radius under the image contour fitting module, r2 is the circle radius under the infrared contour fitting module, and K is the amount of feathers under the duck's skin per square centimeter.

[0067] The value determination module includes a value calculation module;

[0068] The value calculation module is used to calculate the transaction amount of high-quality duck feathers and low-quality duck feathers.

[0069] The specific calculation formula of the value calculation module is as follows:

[0070] W=W1+W2=Q1I1+Q2I2,

[0071] Among them, W is the total transaction amount of all duck feathers, W1 is the transaction amount of high-quality duck feathers, Q1 is the number of high-quality duck feathers, I1 is the unit price of high-quality duck feathers, W2 is the transaction amount of low-quality duck feathers, Q2 is the number of low-quality duck feathers, and I2 is the unit price of low-quality duck feathers.

[0072] Specific implementation example: the duck is made to open its wings through the sound stimulation module to facilitate the observation of the shape of the duck's feathers. When the scanned outline is the head, body, and legs from top to bottom, and the wings, body and wings from left to right, and the wings are on both sides of the body and stretched to 180° on both sides, and the leg area is below the body and opened at 60°, it means that the duck is in a relaxed state at this time, and all feathers can be observed. Therefore, the camera module can be turned on, and the feather image can be taken using the camera module. The contour comparison module is used for comparison. If the root-shaped feather stem part is not broken or bent, and the feather part is smooth and regular around and has no lack of down, then the feather is a high-quality feather; if the feather stem part is broken or bent or the feather part is not smooth and regular around, it is a low-quality feather. The infrared sensing module is turned on, and the duck shape under the infrared contour fitting module and the image contour fitting module is an irregular circle, so their areas can be used. 2 The specific calculation formula for calculating the feather volume is as follows:

[0073]

[0074] Where Q is the total amount of duck feathers, S is the duck area under the image contour fitting module, P is the duck area under the infrared contour fitting module, r1 is the circle radius under the image contour fitting module, r2 is the circle radius under the infrared contour fitting module, and K is the amount of feathers under the duck's skin per square centimeter.

[0075] When r1 is equal to 10 cm in the image contour fitting module, r2 is equal to 4 cm in the infrared contour fitting module, and K is equal to 10 feathers, the total number of feathers is: Equivalent to approximately 2638 feathers;

[0076] After calculating the feather amount, the total transaction amount can be calculated according to the value calculation formula, which is as follows:

[0077] W=W1+W2=Q1I1+Q2I2,

[0078] Where W is the total transaction amount of duck feathers, W1 is high-quality duck feathers, Q1 is the quantity of high-quality duck feathers, I1 is the unit price of high-quality duck feathers, W2 is low-quality duck feathers, Q2 is the quantity of low-quality duck feathers, and I2 is the unit price of low-quality duck feathers;

[0079] When the number of high-quality duck feathers is 2,000 and the unit price is 8 yuan, and the number of low-quality duck feathers is 1,000 and the unit price is 5 yuan, the total transaction amount is W = Q1I1 + Q2I2 = 2,000*8 + 1,000*5 = 21,000 yuan;

[0080] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0081] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A transaction data query system based on blockchain, characterized by: It includes a feather shape analysis module and a feather quantity determination module, wherein the feather quantity determination module and the feather shape analysis module; The feather shape analysis module is used to analyze the overall shape of the duck's feathers, and the feather quantity determination module is used to measure the quantity of the duck's feathers; The feather shape analysis module includes a sound stimulation module, a motion posture comparison module, a camera module, an image storage module, a feather shape comparison module, and a feather classification module. The sound stimulation module is electrically connected to the motion posture comparison module, the motion posture comparison module is electrically connected to the camera module, the camera module is electrically connected to the image storage module, the image storage module is electrically connected to the feather shape comparison module, and the feather shape comparison module is electrically connected to the feather classification module. The feather quantity determination module includes an infrared sensing module, an infrared contour fitting module, a camera module, an image contour fitting module, a contour comparison module, and a feather quantity calculation module. The infrared sensing module is electrically connected to the infrared contour fitting module, the infrared contour fitting module is electrically connected to the camera module, the image contour fitting module is electrically connected to the contour comparison module, and the contour comparison module is electrically connected to the feather quantity calculation module. The sound stimulation module is used to play dynamic music to stimulate the duck to open its wings, so as to observe the overall feather condition. The action posture comparison module is used to judge whether the duck has opened its wings according to the duck shape fitted by the infrared sensing module through the infrared contour. If the wings are opened, the camera module is triggered to turn on to achieve energy saving. The camera module is used to take pictures of the duck with its wings opened to observe the overall feather condition. The image storage module is used to save the pictures of the duck feathers taken by the camera module. The feather shape comparison module is used to distinguish the feathers according to the degree of damage of the appearance shape of the duck feathers. The feather classification module is used to classify the duck feathers distinguished by the feather comparison module into high-quality duck feathers and low-quality duck feathers. The response module is used to detect the presence of the duck by infrared sensing, and use the infrared contour fitting module to fit the overall contour of the duck. The infrared contour fitting module is used to fit the body contour of the duck according to the thermal imaging signal of the infrared sensing module. The camera module is used to take a picture of the overall appearance of the duck. The image contour fitting module is used to fit the overall contour of the duck from the overall appearance of the duck taken by the camera module. The contour comparison module is used to compare the area of ​​the duck contour fitted by the image contour fitting module with the contour fitted by the infrared. The feather amount calculation module is used to calculate the amount of feathers of the duck according to the image fitted by the image contour fitting module and the picture fitted by the infrared contour fitting module. The working steps of the feather shape analysis module are as follows: S1: Play dynamic music to stimulate the duck to open its wings and stretch its body; S2: Start the infrared sensing module to scan the duck, use the infrared contour fitting module to scan the duck contour according to the infrared imaging of the duck contour, and then compare the duck contour image with the action posture comparison module to see if it meets the conditions; S3: If the duck is in the open-wing posture after comparing the action posture, the camera module is started to take pictures of the duck and the pictures are saved through the image storage module to observe the feather quality of the duck. If the duck is not in the open-wing posture after comparing the action posture, the camera function is not started, which can save energy and prevent useless pictures from occupying the memory. S4: According to the feather shape comparison module, the feathers are compared for shape integrity and they are distinguished into high-quality duck feathers and low-quality duck feathers; It also includes a value determination module, which includes a value calculation module; The value calculation module is used to calculate the transaction amount of high-quality duck feathers and low-quality duck feathers; The specific calculation formula of the value calculation module is as follows: W=W1+W2=Q1I1+Q2I2, Among them, W is the total transaction amount of all duck feathers, W1 is the transaction amount of high-quality duck feathers, Q1 is the number of high-quality duck feathers, I1 is the unit price of high-quality duck feathers, W2 is the transaction amount of low-quality duck feathers, Q2 is the number of low-quality duck feathers, and I2 is the unit price of low-quality duck feathers.

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