Intelligent weighing and dynamic combination method and system for banana fruit comb

Abstract

The invention discloses an intelligent weighing and dynamic combination method and system for banana fruit combs, and relates to the technical field of mechanical intellectualization, and the method comprises the following steps: conveying a whole banana fruit comb and a tray below the whole banana fruit comb to a weighing station for weighing, and obtaining the weight data of each banana fruit comb; writing the weight data into the RFID tag of the corresponding accompanying tray; based on the weight data, a banana fruit comb combination with the total weight closest to a preset target value is calculated through a dynamic programming algorithm; and when the banana fruit combs flow to a sorting station along with the tray, RFID tag information is read, and the banana fruit combs conforming to the banana fruit comb combination are sorted into the same collection box to be collected. The method is high in automation degree, has the advantages of accurate weighing, dynamic combination optimization and effective fruit protection, realizes data traceability in the whole process, integrates accurate weighing, intelligent combination, gentle sorting and information management, and can improve the banana post-harvest processing technology level, reduce the labor cost and reduce the fruit loss.

Description

Technical Field

[0001] This invention relates to the field of intelligent machinery technology for banana post-harvest processing, specifically to an intelligent weighing and dynamic combination method and system for banana fruit combs. Background Technology

[0002] Bananas are an important tropical fruit crop, and the level of commercialization in their post-harvest processing directly affects the industry's profitability. In the banana post-harvest processing, the quantitative packing of fruit combs is a crucial step affecting packaging efficiency, fruit quality, and packing accuracy. Currently, most banana-producing areas still rely primarily on manual sorting and packing. This method has low automation, high labor intensity, and low efficiency. Furthermore, manual handling and stacking can easily cause mechanical damage to the fruit, affecting its commercial value. Although some banana-producing areas have implemented semi-automated equipment, most of this is based on sequential packing or simple weight-range grouping, making it difficult to achieve dynamic optimization of fruit comb combinations. This results in significant fluctuations in the weight of individual boxes, failing to meet the stringent weight standardization requirements of high-end markets or export trade.

[0003] In existing agricultural product sorting and packaging technologies, the main automated weighing and sorting solutions for fruits are primarily designed for spherical or regular-shaped products such as apples and citrus fruits. These solutions use continuous cumulative weighing to achieve quantitative measurement and mechanical gripping for handling. However, banana fruit combs are characterized by their irregular shape, fragile stems, and significant weight variations among individual combs. Directly applying existing cumulative weighing or mechanical gripping technologies not only makes it difficult to guarantee assembly accuracy but also easily causes damage during sorting. Furthermore, existing agricultural product sorting and packaging technologies generally lack the identification binding and full-process information management of individual fruit combs, hindering accurate weight traceability and assembly optimization, thus restricting the improvement of automation and informatization in the packing process. Summary of the Invention

[0004] The purpose of this invention is to overcome the aforementioned problems, such as the low level of automation, low efficiency due to reliance on manual operation, difficulty in controlling the weight accuracy of the entire box, inability to achieve precise weight traceability and combination optimization, and the susceptibility of fruits to physical damage during sorting in existing quantitative weighing technologies for banana combs. To solve these problems, this invention provides an intelligent weighing and dynamic combination method for banana combs. This method is highly automated, has the advantages of accurate weighing, dynamic combination optimization, and effective fruit protection, and achieves full data traceability. It integrates accurate weighing, intelligent combination, gentle sorting, and information management, which can improve the level of banana post-harvest processing technology, reduce labor costs, reduce fruit loss, and enhance industrial competitiveness.

[0005] Another objective of this invention is to provide an intelligent weighing and dynamic combination system for banana fruit combs.

[0006] The objective of this invention is achieved through the following technical solution: A method for intelligent weighing and dynamic combination of banana fruit combs includes the following steps: (1) Place the banana comb on the tray and transport the entire banana comb together with the tray below it to the weighing station for weighing to obtain the weight data of each banana comb; write the weight data into the RFID tag of the corresponding accompanying tray and upload it to the storage control module. (2) Based on the weight data, the banana comb combination with the total weight closest to the preset target value is calculated by dynamic programming algorithm; (3) When the banana combs are transferred to the sorting station along with the tray, the RFID tag information is read, and the banana combs that match the banana comb combination are sorted into the same collection box for collection, and the quantitative packing is completed.

[0007] In a preferred embodiment of the present invention, step (1) specifically comprises the following steps: (1.1) Place the banana comb on the tray and place the entire banana comb together with the tray below it on the feeding module. The feeding module will transport the tray and the banana comb together to the weighing module. (1.2) The weighing module weighs the banana comb and obtains the weight data of the banana comb; the information entry module writes the weight data into the RFID tag on the accompanying tray, completes the data binding, and uploads the weight data and RFID tag information to the host computer of the storage control module.

[0008] Preferably, the specific steps of step (2) are as follows: (2.1) The banana combs that have completed data binding are running in a circular differential conveyor mechanism, waiting for sorting instructions; (2.2) The host computer in the storage control module continuously collects and stores the weight data of all weighed banana combs and their corresponding RFID tag information; (2.3) When the weight data of the weighed banana combs accumulates to a specified number, the host computer, based on the dynamic programming algorithm, adds up the weight data of multiple banana combs from all the weighed banana combs that have not yet been combined to obtain the total weight. The banana combs whose total weight is closest to the preset target value are grouped together to form a banana comb combination.

[0009] Preferably, the specific steps of step (3) are as follows: (3.1) When the banana comb on the ring differential conveyor moves to the sorting station with the pallet, the identification and positioning unit reads the RFID tag information of the banana comb and determines whether the banana comb at the sorting station belongs to the banana comb combination based on the RFID tag information. If it does, the PLC controller in the storage control module controls the sorting execution mechanism to push the banana comb onto the unloading module after receiving the sorting instruction from the host computer. If it does not belong, the banana comb continues to be conveyed in a ring on the ring differential conveyor, waiting for the next combination. (3.2) The unloading module sorts the banana combs belonging to the banana comb assembly into the same collection box.

[0010] An intelligent weighing and dynamic combination system for banana fruit combs includes a feeding module, a weighing module, a ring differential speed sorting module, an information input module, a storage control module, a discharging module, and multiple collection boxes. The ring differential speed sorting module includes a ring differential speed conveying mechanism, a sorting execution mechanism, and an identification and positioning unit. The weighing module includes a weighing platform and a transition pushing mechanism. The weighing module is located at the weighing station, and the sorting execution mechanism is located at the sorting station. The feeding module conveys banana combs placed on a tray to the weighing module, where the weighing platform weighs the banana combs. The information input module writes the weight data into an RFID tag on the accompanying tray. The transition pushing mechanism pushes the tray and banana combs together onto a ring differential conveyor, which conveys the banana combs at a differential speed along a ring. The storage control module assembles the banana combs based on the weight data. The identification and positioning unit identifies the RFID tag on the tray. The sorting execution mechanism conveys the assembled banana combs to the unloading module, which then conveys the assembled banana combs to the corresponding collection box for collection.

[0011] The working principle of the above-mentioned intelligent weighing and dynamic combination system for banana fruit combs is as follows: The banana comb is placed on a tray, and the entire banana comb, along with the tray below it, is placed on the feeding module. The feeding module transports the tray and banana comb together to the weighing module at the weighing station. The weighing module weighs the banana comb and obtains its weight data. The information entry module records the weight data onto the RFID tag on the accompanying tray (the tray supporting the banana comb), completing the data binding. Then, the transition pushing mechanism pushes the tray and banana comb together onto the annular differential conveyor mechanism, forming a ring on the annular differential conveyor mechanism. The banana combs, arranged in a circular, differential-speed conveyor system, maintain a dense arrangement while automatically widening their spacing before reaching the sorting station. This allows for sufficient time and space for sorting operations. Once the weight data of the weighed banana combs accumulates to a specified quantity, the storage control module combines the combs based on this data. The total weight obtained by adding multiple weight data points is used to select the banana combs whose total weight is closest to the target value, thus forming a banana comb combination. In other words, if the total weight obtained by adding multiple weight data points falls within the target range, and... To determine the total weight closest to the target value, the banana combs corresponding to these multiple weight data are grouped together to form a banana comb combination. If there are multiple banana comb combinations, and all fall within the target range, the banana comb combination with the total weight closest to the target value is selected for the sorting step. When the banana comb reaches the sorting station, the identification and positioning unit identifies the RFID tag on the tray. If the RFID tag information corresponds to the combined banana comb, that is, the banana comb corresponding to the RFID tag information belongs to the combined banana comb, i.e., it belongs to the banana comb combination, the storage control unit controls the sorting execution mechanism to push the banana comb into the unloading module. If the RFID tag information does not correspond to the combined banana comb, that is, the banana comb does not belong to the banana comb combination, the banana comb continues to be conveyed in a ring on the ring differential conveyor mechanism. The unloading module conveys the combined banana comb to the corresponding collection box for collection, so that the weight of the banana comb combination in each collection box is uniform, that is, the total weight of the banana comb combination in each collection box is close to the target value. Throughout the process, the banana comb and the tray move together.

[0012] Preferably, the annular differential conveying mechanism includes a low-speed semi-circular conveying mechanism, a high-speed semi-circular conveying mechanism, a first transition conveying mechanism, and a second transition conveying mechanism; wherein, the low-speed semi-circular conveying mechanism and the high-speed semi-circular conveying mechanism are arranged opposite to each other, and the conveying speed of the low-speed semi-circular conveying mechanism is less than the conveying speed of the high-speed semi-circular conveying mechanism; the first transition conveying mechanism is located between one end of the low-speed semi-circular conveying mechanism and one end of the high-speed semi-circular conveying mechanism, and the second transition conveying mechanism is located between the other end of the low-speed semi-circular conveying mechanism and the other end of the high-speed semi-circular conveying mechanism; the weighing module corresponds to the first transition conveying mechanism, and the unloading module corresponds to the second transition conveying mechanism; the identification and positioning unit is located on the second transition conveying mechanism; the sorting execution mechanism is used to push the assembled banana combs on the second transition conveying mechanism onto the unloading module. In the above structure, the second transition conveyor mechanism is also located at the sorting station. The conveying speed of the low-speed semi-circular conveyor mechanism is lower than that of the high-speed semi-circular conveyor mechanism, forming a speed difference and realizing differential conveying. The first and second transition conveyor mechanisms ensure a smooth transition of the banana combs between the low-speed and high-speed semi-circular conveyor mechanisms, forming a circular conveying cycle on the circular differential conveyor mechanism. During the circular flow, the banana combs can maintain a dense arrangement while automatically widening the spacing before reaching the sorting station, reserving operation time and space for sorting. The storage control unit continuously collects and stores the weight data of the weighed banana combs and their corresponding values. The RFID tag information is used to accumulate the weight data of the weighed banana combs to a specified quantity. Based on the weight data, the banana combs are combined to form a banana comb combination. When the banana combs reach the sorting station, the identification and positioning unit identifies the RFID tag on the tray. If the RFID tag information corresponds to the combined banana comb, that is, the banana comb corresponding to the RFID tag information belongs to the banana comb combination, the storage control unit controls the sorting execution mechanism to push the banana comb into the unloading module. If the RFID tag information does not correspond to the combined banana comb, the banana comb continues to be conveyed in a ring on the ring differential conveyor mechanism, waiting for the next combination and sorting.

[0013] Preferably, the low-speed semi-circular conveying mechanism includes a low-speed semi-circular frame, a low-speed semi-circular conveyor belt mounted on the frame, and a low-speed variable-speed motor for driving the conveyor belt. The high-speed semi-circular conveying mechanism includes a high-speed semi-circular frame, a high-speed semi-circular conveyor belt mounted on the frame, and a high-speed variable-speed motor for driving the conveyor belt. Both the first transition conveying mechanism and the second transition conveying mechanism include a transition conveying frame, a transition conveyor belt mounted on the frame, and a transition variable-speed motor for driving the conveyor belt. The banana comb and its underlying tray are conveyed together on the low-speed semi-circular conveyor belt, the high-speed semi-circular conveyor belt, and the transition conveyor belt. The conveying speed of the banana comb on the low-speed semi-circular conveyor belt is lower than that on the high-speed semi-circular conveyor belt. The speed difference between the low-speed and high-speed semi-circular conveyor belts can be achieved through the low-speed and high-speed variable-speed motors, reserving operation time and space for sorting. The transition variable-speed motor drives the transition conveyor belt to ensure a smooth transition of the banana comb between different sections.

[0014] Preferably, the sorting execution mechanism includes a sorting mounting table and a sorting execution pneumatic pusher mounted on the sorting mounting table. In the above structure, when the banana comb runs to the sorting station, the identification and positioning unit identifies the RFID tag on the tray. If the RFID tag information corresponds to the assembled banana comb, the storage control unit controls the sorting execution pneumatic pusher to push the banana comb into the unloading module. The sorting execution pneumatic pusher acts on the tray, which can prevent damage to the banana comb.

[0015] Preferably, the identification and positioning unit includes a sorting photoelectric switch mounted on the transition conveyor frame of the second transition conveyor mechanism and a first RFID reader for reading RFID tag information on the tray. The first RFID reader is mounted on the transition conveyor frame via a first mounting plate. The sorting photoelectric switch can identify whether the banana comb has arrived at the sorting station. After the banana comb arrives at the sorting station, the first RFID reader identifies the RFID tag on the tray corresponding to the banana comb.

[0016] Preferably, the feeding module includes a feeding frame, a feeding conveyor belt mounted on the feeding frame, a feeding speed-regulating motor for driving the feeding conveyor belt, a feeding photoelectric switch mounted on the feeding frame, and a feeding push mechanism for pushing the banana combs on the feeding conveyor belt into the weighing module; the feeding push mechanism includes a feeding mounting platform and a feeding push rod mounted on the feeding mounting platform. In the above structure, the weighing module is located at the weighing station, the feeding conveyor belt is responsible for receiving the pre-processed banana combs, and driven by the feeding speed-regulating motor, the feeding conveyor belt smoothly transports the banana combs to the corresponding position of the weighing station. After the feeding photoelectric switch identifies the banana combs, the feeding push rod pushes the banana combs into the weighing module at the weighing station.

[0017] Preferably, the weighing platform includes a platform support frame, a weighing mounting plate mounted on the platform support frame, a platform plate mounted above the weighing mounting plate, and a weighing sensor disposed between the weighing mounting plate and the platform plate. In the above structure, the feeding push rod pushes the tray and banana comb together onto the platform plate, and the weighing sensor can measure the weight data of the banana comb.

[0018] Preferably, the transition pushing mechanism includes a transition mounting platform, a transition pneumatic push rod mounted on the transition mounting platform, and a weighing photoelectric switch. The weighing photoelectric switch is used to identify whether the banana comb has accurately reached the weighing position (platform plate). After obtaining the weight data, the transition pneumatic push rod pushes the tray on the platform plate and the banana comb together to the first transition conveying mechanism.

[0019] Furthermore, the information input module includes a second mounting plate disposed on the platform plate and a second RFID reader disposed on the second mounting plate. The second RFID reader is used to write the weight data obtained from weighing into an RFID tag on the accompanying tray.

[0020] Preferably, the unloading module includes an unloading frame, an unloading conveyor belt mounted on the unloading frame, an unloading speed-regulating motor for driving the unloading conveyor belt, and an unloading pushing mechanism for pushing the banana combs on the unloading conveyor belt into the collection box. The number of unloading pushing mechanisms is the same as the number of collection boxes and they are arranged in a one-to-one correspondence. Each unloading pushing mechanism includes an unloading mounting platform, an unloading push rod mounted on the unloading mounting platform, and an unloading photoelectric switch mounted on the unloading frame. In the above structure, the unloading conveyor belt is responsible for receiving the banana combs transported by the annular differential speed sorting module. Driven by the unloading speed-regulating motor, the unloading conveyor belt smoothly transports the banana combs to the corresponding position in the collection box. After the corresponding unloading photoelectric switch identifies the banana comb, the corresponding unloading push rod pushes the banana comb into the corresponding collection box, thus achieving sorting.

[0021] Compared with the prior art, the present invention has the following advantages: This invention discloses an intelligent weighing and dynamic combination method for banana combs. During the sorting process, the banana combs move along with the tray, effectively reducing physical damage to the banana combs during processing. The banana combs are combined according to weight data, realizing full automation and informatization of the entire process from automatic feeding, accurate weighing, data binding, intelligent combination calculation, automatic sorting to collection box. The data is traceable throughout the process, which can improve the level of banana post-harvest processing technology, reduce labor costs, reduce fruit loss, and enhance industrial competitiveness. Attached Figure Description

[0022] Figure 1 This is a three-dimensional structural diagram of an intelligent weighing and dynamic combination system for banana fruit combs according to the present invention.

[0023] Figure 2 This is a three-dimensional structural diagram of an intelligent weighing and dynamic combination system for banana fruit combs according to the present invention, viewed from another perspective.

[0024] Figure 3 This is a top view of an intelligent weighing and dynamic combination system for banana fruit combs according to the present invention.

[0025] Figure 4 This is a three-dimensional structural diagram of the feeding module in this invention.

[0026] Figure 5 This is a three-dimensional structural diagram of the weighing module in this invention.

[0027] Figure 6 This is a three-dimensional structural diagram of the annular differential sorting module in this invention.

[0028] Figure 7 This is a three-dimensional structural diagram of the feeding module and the collection box in this invention.

[0029] Figure 8 This is a three-dimensional structural diagram of the banana comb placed on a tray according to the present invention.

[0030] Figure 9 This is a three-dimensional structural diagram of the weighing platform in this invention.

[0031] Figure 10 This is a partial three-dimensional structural diagram of the weighing platform in this invention.

[0032] Figure 11 This is a cross-sectional view of the collection box in this invention.

[0033] Figure 12 This is a process diagram of an intelligent weighing and dynamic combination system for banana fruit combs according to the present invention. Detailed Implementation

[0034] To enable those skilled in the art to fully understand the technical solutions of the present invention, the present invention will be further described below in conjunction with embodiments and accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0035] See Figures 1-12 This embodiment discloses an intelligent weighing and dynamic combination method for banana fruit combs, including the following steps: (1) Place the banana comb 7 on the tray 5 and transport the entire banana comb 7 together with the tray 5 below it to the weighing station for weighing to obtain the weight data of each banana comb 7; write the weight data into the RFID tag 6 of the corresponding accompanying tray 5 and upload it to the storage control module. (2) Based on the weight data, the banana comb combination with the total weight closest to the preset target value is calculated by dynamic programming algorithm; (3) When the banana comb 7 is transferred to the sorting station along with the tray 5, the RFID tag 6 information is read and the banana comb 7 that matches the banana comb combination is sorted into the same collection box 405 to complete the quantitative packing.

[0036] See Figures 1-12 The specific steps of step (1) are as follows: (1.1) Place the banana comb 7 on the tray 5, and place the entire banana comb 7 together with the tray 5 below it on the feeding module 1. The feeding module 1 will transport the tray 5 and the banana comb 7 together to the weighing module 2 at the weighing station. (1.2) Weighing module 2 weighs banana comb 7 and obtains the weight data of banana comb 7; information entry module writes the weight data into RFID tag 6 on accompanying tray 5, completes data binding, and uploads the weight data and RFID tag 6 information to the host computer of storage control module.

[0037] See Figures 1-12 The specific steps of step (2) are as follows: (2.1) The banana comb 7, which has completed data binding, runs in a circular differential conveyor mechanism, waiting for sorting instructions; (2.2) The host computer in the storage control module continuously collects and stores the weight data of all weighed banana combs 7 and their corresponding RFID tag 6 information; (2.3) Once the weight data of the weighed banana combs 7 has accumulated to a specified number, the host computer, based on a dynamic programming algorithm, adds up the weight data of all weighed banana combs 7 that have not yet been combined to obtain the total weight. The banana combs 7 whose total weight is closest to the preset target value are grouped together to form a banana comb combination. Let the target value be T, the target range be T±δ, and the total weight be k. If the total weight of multiple banana comb combinations is k and falls within the target range, the banana comb combination that is closest to the preset target value T is selected.

[0038] See Figures 1-12 The specific steps of step (3) are as follows: (3.1) When the banana comb 7 on the ring differential conveyor is transferred to the sorting station along with the tray 5, the identification and positioning unit reads the RFID tag 6 information of the banana comb 7 and determines whether the banana comb 7 on the sorting station belongs to the banana comb combination based on the RFID tag 6 information; if it belongs, the PLC controller in the storage control module controls the sorting execution mechanism to push the banana comb 7 onto the unloading module 3 after receiving the sorting instruction from the host computer; if it does not belong, the banana comb 7 continues to be conveyed in a ring on the ring differential conveyor and waits for the next combination. (3.2) The feeding module 3 sorts the banana combs 7 belonging to the banana comb assembly into the same collection box 405 and collects them to complete the quantitative packing.

[0039] See Figures 1-3 and Figure 12 In step (2), a dynamic programming algorithm is used to select multiple banana combs 7 to form a banana comb combination. The core idea of ​​the algorithm is to decompose the complex original problem into simple subproblems that are related to each other, and to use a table to store the solutions of the subproblems to avoid repeated calculations, thereby efficiently solving problems with optimal substructure. Its solution steps usually include defining the state, determining the state transition equation, setting boundary conditions, determining the calculation order, and interpreting the results.

[0040] The dynamic programming algorithm yields the following specific schemes for banana comb combinations: Problem Definition: Given n weighed banana combs, their weight data set is W = {w1, w2, ..., w...} n Given the target value (target packing weight) T and the allowable error δ, the target range is T ± δ. We need to find m banana combs 7 (m is usually a fixed packing quantity, or within a certain range) such that the total weight k of the m banana combs 7 satisfies T - δ ≤ k ≤ T + δ, that is, the total weight k falls within the target value range. If multiple feasible combinations exist, select the combination with the closest total weight to T.

[0041] 1. State definition: Define the three-dimensional DP array dp[i][j][k] as a boolean value (True / False) to represent a state.

[0042] State meaning: dp[i][j][k] = True means that when considering the first i banana combs, there exists a way to select exactly j banana combs such that their total weight is equal to k; False means that there is no such way.

[0043] Parameter range: i ranges from 0 to n (banana comb index 7), j ranges from 0 to m (target number of combs), and k ranges from 0 to T + δ (target total weight limit).

[0044] 2. Boundary conditions (initialization): dp[0][0][0] = True: This means that if we do not consider any banana combs, there exists a scheme where we select 0 combs and the total weight is 0 (empty set scheme).

[0045] For all other (i, j, k) combinations, the initial state is set to dp[i][j][k] = False.

[0046] This initialization ensures that the algorithm proceeds recursively from a defined initial state.

[0047] 3. State transition equation: The value of state dp[i][j][k] can be derived from two predecessor states. As long as one of them is True, the current state is True. If the i-th banana comb 7 is not selected: At this point, whether the first i-1 banana combs 7 can be used to select j combinations with a total weight of k directly determines the current state. That is, dp[i][j][k] = dp[i-1][j][k].

[0048] Choose the i-th banana comb (7) (where j ≥ 1 and k ≥ w) i At this point, it is necessary to examine whether there exists a banana comb with a total weight of k - w that can be selected from the first i-1 banana combs. i The combination. That is, dp[i][j][k] = dp[i-1][j-1][k - w i ].

[0049] The comprehensive state transition equation is: dp[i][j][k] = dp[i-1][j][k]or (dp[i-1][j-1][k - w) i(and j ≥ 1, k ≥ w) i This equation embodies the optimal substructure property of dynamic programming, that is, the optimal solution (whether it exists) of the current state is determined by the optimal solution of the smaller subproblems.

[0050] 4. The calculation order adopts a bottom-up iterative approach to fill the DP table: Outer loop: i from 1 to n (iterates through each banana comb 7).

[0051] In the middle loop: j ranges from 0 to m (iterates through the number of possible combs).

[0052] Inner loop: k from 0 to T + δ (traversing the possible total weight).

[0053] This order ensures that when computing dp[i][j][k], the substates dp[i-1][j][k] and dp[i-1][j-1][k - w] it depends on are... i All of these have already been calculated.

[0054] 5. Optimal solution extraction and backtracking After the DP table is filled, at the level of i = n, scan all states dp[n][m][k] where j = m and k satisfy T - δ ≤ k ≤ T + δ.

[0055] From all k that satisfy the conditions, select the k with the smallest absolute value |k - T| as the optimal total weight. The corresponding dp[n][m][k] being True indicates the existence of such a combination.

[0056] Backtracking to find specific combinations: Starting from the final state dp[n][m][k], reverse the process to determine whether each banana comb 7 is selected: If dp[i-1][j][k] is True, it means that the i-th banana comb 7 was not selected, and the state transitioned from (i-1, j,k).

[0057] If dp[i-1][j-1][k - w] i ] is True (and j ≥ 1, k ≥ w) i This indicates that the i-th banana comb 7 is selected, and the state is (i-1, j-1, k - w). i It was transferred from there.

[0058] By backtracking forward step by step in this way (i decreasing from n to 1), we can determine which banana combs constitute the optimal combination.

[0059] In this embodiment, it is assumed that the weight data given by the weighing is [2, 1, 5, 3], the number of banana combs 7 in the box is 2, that is, m is 2, the target value is 4, and the unit of the weight data and the target value is kg.

[0060] (A1) Process the first banana comb 7 (weight data = 2) i=1, w1 =2 Update logic: Not selected: dp[1][j][k] = dp[0][j][k] Choose: dp[1][j][k] |= dp[0][j-1][k-2] (j≥1 and k≥2) Update the DP table to get the final result dp[1][1][2] = True (selecting the 1st option). (A2) Process the second banana comb 7 (weight data = 5) i=2, w2=5 Since w=5>target=4, it cannot be selected (it directly inherits from the previous row). (A3) Process the 3rd banana comb 7 (weight data = 1) i=3, w3=1 Update logic: Not selected: dp[3][j][k] = dp[2][j][k] Choose: dp[3][j][k] |= dp[2][j-1][k-1] Key Updates: dp[3][1][1] = dp[2][0][0] = True (New state: Select the 3rd round) dp[3][2][3] = dp[2][1][2] = True (choose the 1st and 3rd rounds, 2+1=3) (A4) Process the 4th banana comb 7 (weight data = 3) i=4, w4=3 Update logic: Not selected: dp[4][j][k] = dp[3][j][k] Choose: dp[4][j][k] |= dp[3][j-1][k-3] Key Updates: dp[4][1][3] = dp[3][0][0] = True (New state: Select the 4th round) dp[4][2][4] = dp[3][1][1] = True (choose the 3rd and 4th rounds, 1+3=4) (A5) Target Combination Extraction Checking dp[4][2][4] = True, we find the specific combination by backtracking: Path 1: Select the 4th turn (w=3) → Need to transition from dp[3][1][1] (select the 3rd turn, w=1) Combination: [1, 3] (Total weight = 4) Path 2: Do not select the 4th option → Check dp[3][2][4] (False, no other combinations) Final output: The target banana comb combination that meets the requirements is [1, 3].

[0061] See Figures 1-12 This embodiment also discloses an intelligent weighing and dynamic combination system for banana fruit combs, including a feeding module 1, a weighing module 2, a ring differential speed sorting module 4, an information input module, a storage control module, a feeding module 3, and multiple collection boxes 405; wherein, the ring differential speed sorting module 4 includes a ring differential speed conveying mechanism, a sorting execution mechanism, and an identification and positioning unit; the weighing module 2 includes a weighing platform 205 and a transition push mechanism; the weighing module 2 is located at the weighing station, and the sorting execution mechanism is located at the sorting station.

[0062] See Figures 1-12 The feeding module 1 is used to convey the banana combs 7 placed on the tray 5 to the weighing module 2. The weighing platform 205 is used to weigh the banana combs 7. The information input module is used to write the weight data obtained from the weighing into the RFID tag 6 on the accompanying tray 5. The transition pushing mechanism is used to push the tray 5 and the banana combs 7 together on the weighing platform 205 onto the ring differential conveyor mechanism. The ring differential conveyor mechanism is used to convey the banana combs 7 at a differential speed along a ring. The storage control module combines the banana combs 7 according to the weight data. The identification and positioning unit is used to identify the RFID tag 6 on the tray 5. The sorting execution mechanism is used to convey the combined banana combs 7 to the unloading module 3. The unloading module 3 conveys the combined banana combs 7 to the corresponding collection box 405 for collection. The combined banana combs 7 are banana combs 7 belonging to the banana comb combination.

[0063] See Figures 1-12 The working principle of the above-mentioned intelligent weighing and dynamic combination system for banana fruit combs is as follows: The banana comb 7 is placed on the tray 5, and the entire banana comb 7, along with the tray 5 below it, is placed on the feeding module 1. The feeding module 1 transports the tray 5 and the banana comb 7 together to the weighing module 2 at the weighing station. The weighing module 2 weighs the banana comb 7 and obtains its weight data. The information entry module records the weight data onto the RFID tag 6 on the accompanying tray 5 (the tray 5 supporting the banana comb 7), completing the data binding. Then, the transition pushing mechanism pushes the tray 5 and the banana comb 7 together onto the annular differential conveyor mechanism. The structure forms a circular, differentially oriented conveyor. During this circular flow, the banana combs 7 maintain a dense arrangement while automatically widening their spacing before reaching the sorting station, allowing time and space for sorting operations. Once the weight data of the weighed banana combs 7 accumulates to a specified quantity, the storage control module combines the banana combs 7 according to this weight data. The total weight obtained by adding multiple weight data is used to select the banana comb 7 with the closest total weight to the target value, thus forming a banana comb combination. In other words, the total weight obtained by adding multiple weight data must fall within the target range and be the closest to the target value. The total weight of the banana combs is taken as the target value. These multiple weight data points are grouped together with their corresponding banana combs 7, forming a banana comb combination. If there are multiple banana comb combinations, and all fall within the target range, the banana comb combination with the closest total weight to the target value is selected for the sorting step. When the banana comb 7 reaches the sorting station, the identification and positioning unit identifies the RFID tag 6 on the tray 5. If the information on the RFID tag 6 corresponds to the combined banana comb 7, that is, the banana comb 7 corresponding to the RFID tag 6 information belongs to the combined banana comb 7, i.e., belongs to the banana comb combination, storage control... The unit-controlled sorting execution mechanism pushes the banana comb 7 into the unloading module 3. If the information of the RFID tag 6 does not correspond to the assembled banana comb 7, that is, the banana comb 7 does not belong to the banana comb assembly, the banana comb 7 continues to be conveyed in a ring on the ring differential conveyor mechanism. The unloading module 3 conveys the assembled banana comb 7 to the corresponding collection box 405 for collection, so that the weight of the banana comb assembly in each collection box 405 is uniform, that is, the total weight of the banana comb assembly in each collection box 405 is close to the target value; throughout the process, the banana comb 7 and the tray 5 move together.

[0064] The storage control module includes a host computer and a PLC controller; the host computer and the PLC controller are communicatively connected.

[0065] See Figures 1-8The annular differential conveyor mechanism is a key actuator, comprising a low-speed semi-circular conveyor mechanism, a high-speed semi-circular conveyor mechanism, a first transition conveyor mechanism, and a second transition conveyor mechanism. The low-speed semi-circular conveyor mechanism and the high-speed semi-circular conveyor mechanism are arranged opposite each other, with the low-speed conveyor mechanism having a lower conveying speed than the high-speed conveyor mechanism. The first transition conveyor mechanism is located between one end of the low-speed semi-circular conveyor mechanism and one end of the high-speed semi-circular conveyor mechanism, and the second transition conveyor mechanism is located between the other ends of the low-speed and high-speed semi-circular conveyor mechanisms. The weighing module 2 corresponds to the first transition conveyor mechanism, and the unloading module 3 corresponds to the second transition conveyor mechanism. The identification and positioning unit is located on the second transition conveyor mechanism. The sorting actuator is used to push the assembled banana combs 7 on the second transition conveyor mechanism onto the unloading module 3. In the above structure, the second transition conveyor mechanism is also located at the sorting station. The conveying speed of the low-speed semi-circular conveyor mechanism is lower than that of the high-speed semi-circular conveyor mechanism, forming a speed difference and realizing differential conveying. The first and second transition conveyor mechanisms ensure a smooth transition of the banana combs 7 between the low-speed and high-speed semi-circular conveyor mechanisms, forming a circular conveying on the circular differential conveyor mechanism. During the circular flow, the banana combs 7 can maintain a dense arrangement and automatically widen the spacing before reaching the sorting station, reserving operation time and space for sorting. The storage control unit continuously collects and stores the weight data of the weighed banana combs 7 and their corresponding RFID tags. Information 6: After the weight data of the weighed banana combs 7 has accumulated to a specified quantity, the banana combs 7 are combined according to the weight data to obtain a banana comb combination. When the banana combs 7 run to the sorting station, the identification and positioning unit identifies the RFID tag 6 on the tray 5. If the information of RFID tag 6 corresponds to the combined banana comb 7, that is, the banana comb 7 corresponding to the information of RFID tag 6 belongs to the banana comb combination, the storage control unit controls the sorting execution mechanism to push the banana comb 7 into the unloading module 3. If the information of RFID tag 6 does not correspond to the combined banana comb 7, the banana comb 7 continues to be conveyed in a ring on the ring differential conveyor mechanism, waiting for the next combination and sorting.

[0066] See Figures 1-8The low-speed semi-circular conveying mechanism includes a low-speed semi-circular frame, a low-speed semi-circular conveyor belt 301 mounted on the low-speed semi-circular frame, and a low-speed variable-speed motor for driving the low-speed semi-circular conveyor belt 301. The high-speed semi-circular conveying mechanism includes a high-speed semi-circular frame, a high-speed semi-circular conveyor belt 307 mounted on the high-speed semi-circular frame, and a high-speed variable-speed motor 308 for driving the high-speed semi-circular conveyor belt 307. Both the first transition conveying mechanism and the second transition conveying mechanism include a transition conveying frame, a transition conveyor belt 310 mounted on the transition conveying frame, and a transition variable-speed motor 309 for driving the transition conveyor belt 310. The banana comb 7 and the tray 5 below it are conveyed together on the low-speed semi-circular conveyor belt 301, the high-speed semi-circular conveyor belt 307, and the transition conveyor belt 310. The conveying speed of the banana comb 7 on the low-speed semi-circular conveyor belt 301 is lower than that on the high-speed semi-circular conveyor belt 307. The speed difference between the low-speed semi-circular conveyor belt 301 and the high-speed semi-circular conveyor belt 307 can be achieved by the low-speed speed regulating motor and the high-speed speed regulating motor 308, so as to reserve operation time and space for sorting. The transition speed regulating motor 309 drives the transition conveyor belt to ensure that the banana comb 7 transitions smoothly between different sections.

[0067] See Figures 1-8 The PLC controller controls the speed of the high-speed variable speed motor 308 and the low-speed variable speed motor through a high-speed solenoid valve group, thereby controlling the low-speed semi-circular conveyor belt 301 and the high-speed semi-circular conveyor belt 307 to run at different speeds. The sorting execution mechanism completes the rapid sorting and collection of banana combs 7 by calculating the optimal banana comb combination based on dynamic programming algorithm issued by the host computer.

[0068] See Figures 1-8 The sorting execution mechanism completes the sorting action according to the control command. The sorting execution mechanism includes a sorting mounting table 305 and a sorting execution pneumatic push rod 306 set on the sorting mounting table 305. In the above structure, when the banana comb 7 runs to the sorting station, the identification and positioning unit identifies the RFID tag 6 on the tray 5. If the information of the RFID tag 6 corresponds to the assembled banana comb 7, the storage control unit controls the sorting execution pneumatic push rod 306 to push the banana comb 7 into the unloading module 3. The sorting execution pneumatic push rod 306 acts on the tray 5 to prevent damage to the banana comb 7.

[0069] See Figures 1-10The identification and positioning unit includes a sorting photoelectric switch 302 mounted on the transition conveyor frame of the second transition conveyor mechanism and a first RFID reader 303 for reading information from RFID tags 6 on the tray 5. The first RFID reader 303 is mounted on the transition conveyor frame via a first mounting plate 304. The sorting photoelectric switch 302 can identify whether the banana comb 7 has arrived at the sorting station. After the banana comb 7 arrives at the sorting station, the first RFID reader 303 identifies the RFID tag 6 on the tray 5 corresponding to the banana comb 7.

[0070] See Figures 1-10 At the sorting station, the first RFID reader 303 reads and writes information from the RFID tag 6 to accurately identify the banana comb 7 in the banana comb assembly.

[0071] See Figures 1-10 The feeding module 1 is responsible for receiving the banana combs 7 that have undergone pre-treatment (dropping, washing, sterilization, and air drying) and smoothly conveying them to the weighing station. The feeding module 1 includes a feeding frame 103, a feeding conveyor belt 101 set on the feeding frame 103, a feeding speed regulating motor 102 for driving the feeding conveyor belt 101, a feeding photoelectric switch 105 set on the feeding frame 103 for detecting the tray's position, and a feeding pushing mechanism for pushing the banana combs 7 on the feeding conveyor belt 101 into the weighing module 2. The feeding pushing mechanism includes a feeding mounting platform 107 and a feeding push rod 106 set on the feeding mounting platform 107. In the above structure, the weighing module 2 is located at the weighing station. The feeding conveyor belt 101 is responsible for receiving the pre-processed banana comb 7. Driven by the feeding speed regulating motor 102, the feeding conveyor belt 101 smoothly transports the banana comb 7 to the corresponding position of the weighing station. After the feeding photoelectric switch 105 recognizes the banana comb 7, the feeding push rod 106 pushes the banana comb 7 into the weighing module 2 at the weighing station.

[0072] See Figures 1-10 The weighing platform 205 includes a platform support frame 2053, a weighing mounting plate 2052 mounted on the platform support frame 2053, a platform plate 2051 mounted above the weighing mounting plate 2052, a weighing sensor 2054 positioned between the weighing mounting plate 2052 and the platform plate 2051, and a weighing sensor support platform 2055. In this structure, the feeding push rod 106 pushes the tray 5 and the banana comb 7 together onto the platform plate 2051, and the weighing sensor 2054 can weigh the banana comb 7.

[0073] See Figures 1-10The weighing sensor 2054 is a high-precision resistance strain gauge weighing sensor. The weighing platform 205 also includes a digital acquisition transmitter. The weighing sensor 2054 is connected to the digital acquisition transmitter and realizes real-time acquisition and remote transmission of weight data through RS485 bus, uploading the weight data to the host computer; providing an accurate data foundation for subsequent combined calculations.

[0074] See Figures 1-10 The transition pushing mechanism includes a transition mounting platform, a transition pneumatic push rod mounted on the transition mounting platform, and a weighing photoelectric switch. The weighing photoelectric switch is used to identify whether the banana comb 7 has accurately reached the weighing position (platform plate 2051). After obtaining the weight data, the transition pneumatic push rod pushes the tray 5 on the platform plate 2051 and the banana comb 7 together to the first transition conveying mechanism.

[0075] See Figures 1-10 The information entry module employs Radio Frequency Identification (RFID) technology. Each tray 5 carrying banana combs 7 is embedded with a unique RFID tag 6. The information entry module includes a second mounting plate 203 mounted on the platform plate 2051 and a second RFID reader 204 mounted on the second mounting plate 203. The second RFID reader 204 is used to write the weight data obtained from weighing into the RFID tag 6 on the accompanying tray 5, completing data binding. The second RFID reader 204 communicates with the RFID tag 6 on the tray 5 to record and identify the weight information of the banana combs 7.

[0076] See Figures 1-11The unloading module 3 is responsible for pushing and collecting the sorted target banana combs into the collection box 405. The unloading module 3 includes an unloading frame, an unloading conveyor belt 403 set on the unloading frame, an unloading speed regulating motor 406 (or unloading speed regulator) for driving the unloading conveyor belt 403, and an unloading pushing mechanism for pushing the banana combs 7 on the unloading conveyor belt 403 into the collection box 405. The number of unloading pushing mechanisms is the same as the number of collection boxes 405 and they are set one-to-one. The unloading pushing mechanism includes an unloading mounting platform 402, an unloading push rod 401 set on the unloading mounting platform 402, and an unloading photoelectric switch 404 set on the unloading frame. In the above structure, the feeding conveyor belt 403 receives the banana combs 7 from the annular differential speed sorting module 4. Driven by the feeding speed regulating motor 406, the feeding conveyor belt 403 smoothly transports the banana combs 7 to the corresponding position in the collection box 405. After the corresponding feeding photoelectric switch 404 identifies the banana comb 7, the corresponding feeding push rod 401 pushes the banana comb 7 into the corresponding collection box 405, thus achieving sorting. One collection box 405 is used to collect a set of banana combs. After the bagging box is completed, it can receive the next set of banana combs.

[0077] See Figures 1-11 The feeding module 1 and unloading module 3 are responsible for the continuous and automated conveying of the banana combs 7. Both are belt conveyors that operate based on the principle of friction transmission, smoothly transporting the trays 5 carrying the banana combs 7 to the designated workstations. The trays 5 are flexible arc-shaped trays adapted to the shape of the banana combs 7, and each tray 5 is embedded with a unique RFID tag 6 for binding and identifying the corresponding banana comb 7 and its weight information during the process. The feeding push rod 106 and the unloading push rod 401 are pneumatic actuators, responsible for achieving precise connection and transfer of the banana combs 7 between each processing stage.

[0078] See Figures 1-11 In this embodiment, each workstation is equipped with a photoelectric switch to detect in real time whether the tray 5 is accurately positioned and to provide a trigger signal to the storage control module. Each drive belt and speed-regulating motor is connected by a transmission mechanism.

[0079] See Figures 1-11 The collection box 405 is equipped with a cushioning pad 4051 to reduce the impact when the banana comb 7 falls in and reduce mechanical damage. The bottom 4052 of the collection box 405 is a 5° slope, so that after the banana comb 7 is pushed in, it can slide naturally into the depth of the collection box 405 by gravity, leaving space for the subsequent feeding of the banana comb 7.

[0080] See Figures 1-12 The specific workflow of the intelligent weighing and dynamic combination system for banana fruit combs is as follows: (S1) System initialization: Start the system and set the target value (e.g., 12 kg) and sorting parameters in the host computer, such as the number of banana combs 7 to be packed in a box; the target value is also the target packing weight. (S2) Banana comb 7 feeding: Place the banana comb 7 on the tray 5, and place the entire banana comb 7 together with the tray 5 below it on the feeding conveyor belt 101 of the feeding module 1. When the feeding photoelectric switch 105 detects that the tray 5 has reached the feeding station (i.e., the position corresponding to the weighing station), the feeding push rod 106 is activated, pushing the tray 5 and the banana comb 7 together onto the weighing module 2 (the weighing station). (S3) Precise weighing and data binding: After the weighing photoelectric switch detects that the banana comb 7 has arrived at the weighing module 2, the weighing module 2 weighs the banana comb 7 and obtains the weight data of the banana comb 7. Then, the second RFID reader 204 writes the weight data into the RFID tag 6 on the accompanying tray 5, completes the data binding, and uploads the weight data and RFID tag 6 information to the host computer of the storage control module. Then, the transition pneumatic push rod moves to push the weighed banana comb 7 into the first transition conveying mechanism of the annular differential conveying mechanism. (S4) Looping to be sorted: The banana comb 7, which has completed data binding, runs in a circular differential conveyor mechanism (low-speed semi-circular conveyor belt 301 and high-speed semi-circular conveyor belt 307) and waits for sorting instructions. (S5) Data Upload and Storage: The host computer in the storage control module continuously collects and stores the weight data of all weighed banana combs 7 and their corresponding RFID tag information 6; (S6) Intelligent Combinatorial Computation: Once the weight data of the weighed banana combs 7 has accumulated to a specified number (n combs), the host computer, based on a dynamic programming algorithm, adds the weight data of multiple banana combs 7 from all the weighed banana combs 7 that have not yet been combined to obtain the total weight. That is, the total weight is obtained by adding the weight data of m banana combs 7. The banana combs 7 whose total weight is closest to the preset target value are grouped together to form a banana comb combination. This banana comb combination is the optimal banana comb combination. (S7) Identification and sorting execution: When the banana comb 7 on the circular differential conveyor mechanism flows to the sorting station along with the tray 5, the first RFID reader 303 reads the RFID tag 6 information of the tray 5 below the banana comb 7. Based on the RFID tag 6 information, it determines whether the banana comb 7 at the sorting station belongs to the banana comb assembly. If it does, the banana comb 7 is the banana comb 7. If it does, the PLC controller in the storage control module, after receiving the sorting instruction from the host computer, controls the pneumatic push rod 306 to move accurately and gently push the banana comb 7 onto the unloading conveyor belt 403. If it does not belong, the banana comb 7 continues to be conveyed in a circular manner on the circular differential conveyor mechanism, waiting for the next assembly. (S8) Unloading and packing: When the feeding photoelectric switch 404 on the feeding conveyor belt 403 detects the arrival of the banana comb 7, the feeding conveyor belt 403 stops, the feeding push rod 401 moves, and pushes the banana comb 7 located at the feeding station into the collection box 405 for collection. Banana combs 7 belonging to the banana comb assembly are sorted into the same collection box 405 for collection. Due to the inclined surface at the bottom of the collection box 405 and the cushioning pad 4051, the banana comb 7 can fall smoothly and with minimal damage into the designated position inside the collection box 405. (S9) Cyclic operation: Repeat steps (S2)-(S8) to achieve continuous, automatic, and intelligent quantitative combination and packing of banana combs 7.

[0081] The above are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above content. Any changes, modifications, substitutions, combinations, or simplifications made without departing from the spirit and principle of the present invention shall be considered equivalent substitutions and shall be included within the protection scope of the present invention.

Claims

1. A method for intelligent weighing and dynamic combination of banana fruit combs, characterized in that, Includes the following steps: (1) Place the banana comb on the tray and transport the entire banana comb together with the tray below it to the weighing station for weighing to obtain the weight data of each banana comb; write the weight data into the RFID tag of the corresponding accompanying tray and upload it to the storage control module. (2) Based on the weight data, the banana comb combination with the total weight closest to the preset target value is calculated by dynamic programming algorithm; (3) When the banana combs are transferred to the sorting station along with the tray, the RFID tag information is read, and the banana combs that match the banana comb combination are sorted into the same collection box for collection, and the quantitative packing is completed.

2. The intelligent weighing and dynamic combination method for banana fruit combs according to claim 1, characterized in that, The specific steps of step (1) are as follows: (1.1) Place the banana comb on the tray and place the entire banana comb together with the tray below it on the feeding module. The feeding module will transport the tray and the banana comb together to the weighing module. (1.2) The weighing module weighs the banana comb and obtains the weight data of the banana comb; the information entry module writes the weight data into the RFID tag on the accompanying tray, completes the data binding, and uploads the weight data and RFID tag information to the host computer of the storage control module.

3. The intelligent weighing and dynamic combination method for banana fruit combs according to claim 2, characterized in that, The specific steps of step (2) are as follows: (2.1) The banana combs that have completed data binding are running in a circular differential conveyor mechanism, waiting for sorting instructions; (2.2) The host computer in the storage control module continuously collects and stores the weight data of all weighed banana combs and their corresponding RFID tag information; (2.3) When the weight data of the weighed banana combs accumulates to a specified number, the host computer, based on the dynamic programming algorithm, adds up the weight data of multiple banana combs from all the weighed banana combs that have not yet been combined to obtain the total weight. The banana combs whose total weight is closest to the preset target value are grouped together to form a banana comb combination.

4. The intelligent weighing and dynamic combination method for banana fruit combs according to claim 3, characterized in that, The specific steps of step (3) are as follows: (3.1) When the banana comb on the ring differential conveyor moves to the sorting station with the pallet, the identification and positioning unit reads the RFID tag information of the banana comb and determines whether the banana comb at the sorting station belongs to the banana comb combination based on the RFID tag information. If it does, the PLC controller in the storage control module controls the sorting execution mechanism to push the banana comb onto the unloading module after receiving the sorting instruction from the host computer. If it does not belong, the banana comb continues to be conveyed in a ring on the ring differential conveyor, waiting for the next combination. (3.2) The unloading module sorts the banana combs belonging to the banana comb assembly into the same collection box.

5. An intelligent weighing and dynamic combination system for banana fruit combs, characterized in that, It includes a feeding module, a weighing module, a ring differential speed sorting module, an information input module, a storage control module, a discharging module, and multiple collection boxes; wherein, the ring differential speed sorting module includes a ring differential speed conveyor mechanism, a sorting execution mechanism, and an identification and positioning unit; the weighing module includes a weighing platform and a transition push mechanism; the weighing module is located at the weighing station, and the sorting execution mechanism is located at the sorting station; wherein, The feeding module conveys banana combs placed on a tray to the weighing module, where the weighing platform weighs the banana combs. The information input module writes the weight data into an RFID tag on the accompanying tray. The transition pushing mechanism pushes the tray and banana combs together onto a ring differential conveyor, which conveys the banana combs at a differential speed along a ring. The storage control module assembles the banana combs based on the weight data. The identification and positioning unit identifies the RFID tag on the tray. The sorting execution mechanism conveys the assembled banana combs to the unloading module, which then conveys the assembled banana combs to the corresponding collection box for collection.

6. The intelligent weighing and dynamic combination system for banana fruit combs according to claim 5, characterized in that, The annular differential conveying mechanism includes a low-speed semi-circular conveying mechanism, a high-speed semi-circular conveying mechanism, a first transition conveying mechanism, and a second transition conveying mechanism. The low-speed semi-circular conveying mechanism and the high-speed semi-circular conveying mechanism are arranged opposite each other, with the low-speed semi-circular conveying mechanism having a lower conveying speed than the high-speed semi-circular conveying mechanism. The first transition conveying mechanism is located between one end of the low-speed semi-circular conveying mechanism and one end of the high-speed semi-circular conveying mechanism, and the second transition conveying mechanism is located between the other ends of the low-speed and high-speed semi-circular conveying mechanisms. The weighing module corresponds to the first transition conveying mechanism, and the unloading module corresponds to the second transition conveying mechanism. The identification and positioning unit is located on the second transition conveying mechanism. The sorting execution mechanism is used to push the assembled banana combs on the second transition conveying mechanism onto the unloading module.

7. The intelligent weighing and dynamic combination system for banana fruit combs according to claim 6, characterized in that, The sorting execution mechanism includes a sorting mounting table and a sorting execution pneumatic push rod mounted on the sorting mounting table; The identification and positioning unit includes a sorting photoelectric switch disposed on the transition conveyor frame of the second transition conveyor mechanism and a first RFID reader for reading RFID tag information on the pallet. The first RFID reader is disposed on the transition conveyor frame via a first mounting plate.

8. The intelligent weighing and dynamic combination system for banana fruit combs according to claim 5, characterized in that, The feeding module includes a feeding frame, a feeding conveyor belt mounted on the feeding frame, a feeding speed-regulating motor for driving the feeding conveyor belt, a feeding photoelectric switch mounted on the feeding frame, and a feeding push mechanism for pushing the banana combs on the feeding conveyor belt into the weighing module; the feeding push mechanism includes a feeding mounting platform and a feeding push rod mounted on the feeding mounting platform.

9. The intelligent weighing and dynamic combination system for banana fruit combs according to claim 5, characterized in that, The weighing platform includes a platform support frame, a weighing mounting plate mounted on the platform support frame, a platform plate mounted above the weighing mounting plate, and a weighing sensor mounted between the weighing mounting plate and the platform plate. The transition pushing mechanism includes a transition mounting platform, a transition pneumatic push rod mounted on the transition mounting platform, and a weighing photoelectric switch; The information input module includes a second mounting plate mounted on the platform and a second RFID reader mounted on the second mounting plate. The second RFID reader is used to write the weight data obtained from weighing into an RFID tag on the accompanying tray.

10. The intelligent weighing and dynamic combination system for banana fruit combs according to claim 5, characterized in that, The unloading module includes an unloading frame, an unloading conveyor belt mounted on the unloading frame, an unloading speed-regulating motor for driving the unloading conveyor belt, and an unloading pushing mechanism for pushing the banana combs on the unloading conveyor belt into the collection box; the number of unloading pushing mechanisms is the same as the number of collection boxes and they are arranged in a one-to-one correspondence; the unloading pushing mechanism includes an unloading mounting platform, an unloading push rod mounted on the unloading mounting platform, and an unloading photoelectric switch mounted on the unloading frame.

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