A packing traceability information management and control integrated system and method for cotton production

Abstract

This invention discloses an integrated system and method for managing and controlling cotton bale traceability information, relating to the field of agricultural informatization and intelligent equipment technology. It includes: a bale execution module for performing cotton bale operations; a multi-source sensing module for collecting bale process information during the bale process; a traceability label management module for generating a globally unique traceability code for each cotton bale; and an information management platform including a data fusion unit, a blockchain storage unit, and a query response unit. This invention uses the traceability label management module to write the bale process information collected in real time by the multi-source sensing module into traceability labels sealed with the cotton bales. The data fusion unit of the information management platform then uses timestamps and cotton bale identifiers to correlate and fuse multi-source data from the same cotton bale in real time to generate a full-process traceability file. The blockchain storage unit then stores the file hash value on the blockchain for evidence. The cotton bale carries complete bale data, and the data within the label can be read via RFID or QR code without requiring an internet connection.

Description

Technical Field

[0001] This invention relates to the field of agricultural informatization and intelligent equipment technology, specifically to an integrated system and method for managing and controlling packaging traceability information in cotton production. Background Technology

[0002] As an important economic crop and raw material for the textile industry, the quality and safety of cotton are directly related to the economic benefits of the downstream industrial chain and the rights and interests of consumers. In the post-harvest processing of cotton, cotton baling is a key process connecting field harvesting and warehousing logistics. Traditional cotton baling operations mainly focus on the physical forming and packaging of cotton bales, lacking real-time collection and recording of key quality parameters in the baling process, making it difficult to obtain the true production information of cotton bales in subsequent circulation links.

[0003] The existing management and control system for cotton production packaging traceability information has the following shortcomings:

[0004] 1. Patent document CN111353790B discloses a system and method for collecting traceability information of goods. "A system and method for collecting traceability information of goods, the system comprising: a traceability medium affixed to the exterior of the object to be traced; a traceability medium management device performing signature authentication processing on the device information of the traceability medium through a preset identity authentication mechanism to obtain device authorization information and provide it to a traceability sensing device; the traceability sensing device collecting the device information of the traceability medium and the traceability information of the object to be traced, verifying the device information through the device authorization information, and uploading the device information and traceability information to an information transmission security management device; the information transmission security management device generating permission information based on the device information of the traceability sensing device through a preset permission authentication mechanism; verifying the permission of the traceability sensing device based on the permission information, and uploading the device information and traceability information; an IoT cloud platform control device receiving the device information and traceability information; retrieving the corresponding traceability information based on the device information in the received access request, and feeding it back to the access initiator." However, the device in the above document has technical problems such as the separation of packaging process information from the physical cotton bag, making offline traceability difficult to achieve, and the data being easily tampered with. Summary of the Invention

[0005] The purpose of this invention is to provide an integrated system and method for managing and controlling packaging traceability information in cotton production, so as to solve the technical problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an integrated system for managing and controlling the traceability information of cotton production packaging, comprising:

[0007] A packing execution module is used to perform cotton packing operations. The packing execution module includes a compression molding unit and a wrapping and winding unit.

[0008] A multi-source sensing module is fixedly installed at the junction of the compression molding unit and the wrapping unit, and is used to collect information on the packaging process of cotton bales in real time during the packaging process;

[0009] The traceability label management module is used to generate a globally unique traceability code for each cotton bale and write the traceability code and the packaging process information collected in real time by the multi-source sensing module into the traceability label set on the packaging film.

[0010] The information management and control platform, which is communicatively connected to the packaging execution module, the multi-source sensing module, and the traceability tag management module, includes:

[0011] The data fusion unit is used to link and fuse multi-source data of the same cotton bale in real time according to timestamp and cotton bale identifier to generate a full-process traceability file.

[0012] A blockchain-based evidence storage unit is used to calculate the hash value of the full-process traceability file and store it on the blockchain.

[0013] The query response unit is used to respond to external query requests and return the corresponding full-process traceability file based on the cotton bale traceability code.

[0014] Preferably, the multi-source sensing module includes an impurity detection sensor, a moisture regain detection sensor, a cotton bale weighing sensor, a packaging film usage status detection unit, and an environmental parameter acquisition unit.

[0015] Preferably, the impurity content detection sensor is a hyperspectral imaging sensor, and the moisture regain detection sensor is a capacitive or microwave moisture regain detection sensor.

[0016] Preferably, the packaging process information includes cotton quality parameters, packaging process parameters, and environmental parameters.

[0017] Preferably, the traceability label includes at least one RFID electronic tag disposed on the inner side of the packaging film (non-adhesive film side), and a QR code label and a plaintext serial number label printed on the outer side of the packaging film. The RFID electronic tag, the QR code label, and the plaintext serial number label carry the same and unique cotton bale traceability code. The traceability label management module also includes a label anti-counterfeiting verification unit, used to generate an encrypted verification code during the label writing process and write the encrypted verification code into the RFID electronic tag. The encrypted verification code is generated based on the RSA algorithm, and the private key is stored in the encryption hardware of the traceability label management module.

[0018] Preferably, the multi-source sensing module further includes a packaging quality monitoring unit, which includes multiple pressure sensors and displacement sensors disposed in the compression molding unit for real-time acquisition of pressure change curves and cotton bale diameter change curves during the cotton bale compression process. The information management platform performs real-time evaluation of the cotton bale forming quality based on the pressure change curves and the cotton bale diameter change curves, and generates a quality warning signal when the evaluation value is lower than a preset quality threshold.

[0019] Preferably, the information management and control platform further includes a production scheduling optimization unit, which is used to acquire the real-time operation status of the packing execution module, the cotton quality distribution data collected by the multi-source sensing module, and historical packing efficiency data, and generate a scheduling strategy based on a genetic algorithm. The scheduling strategy includes packing order, parameter adjustment suggestions, and equipment maintenance prompts. The information management and control platform also includes a supply chain collaboration unit, which is used to provide hierarchical access interfaces to cotton purchasers, processors, and logistics providers, and different participants can obtain the corresponding link data in the cotton bale traceability file according to their authorized permissions.

[0020] Preferably, a method for integrated management and control of packaging traceability information in cotton production includes the following steps:

[0021] S1. Packaging Startup: Start the packaging execution module and begin the cotton packaging operation;

[0022] S2. Traceability Label Generation: Generate a globally unique cotton bale traceability code for the current packaging operation, and write the cotton bale traceability code into the traceability label set on the packaging film;

[0023] S3. Packaging process sensing: During the packaging process, the impurity content, moisture regain, weight, ambient temperature and humidity, and packaging film usage status of the cotton bales are collected in real time to form a real-time data stream of the packaging process;

[0024] S4. Label writing and data synchronization: The impurity rate, moisture regain rate and weight data in the real-time data stream of the packaging process are written to the storage area of ​​the traceability label in real time, and all packaging process data is uploaded to the information management platform.

[0025] S5. Data Fusion and Archive Generation: Multi-source data of the same cotton bale are associated and merged according to timestamp and cotton bale identifier to generate a full-process traceability archive.

[0026] S6. Blockchain Evidence Preservation: Calculate the hash value of the full-process traceability file, upload the hash value to the blockchain for evidence preservation, and record the block height and evidence preservation timestamp in the full-process traceability file;

[0027] S7. Packing and Labeling: After the packing operation is completed, the cotton bales are released, and the traceability label is sealed on the surface of the cotton bales along with the packing film.

[0028] S8. Traceability Query: Responds to external query requests, retrieves the corresponding full-process traceability file based on the cotton bale traceability code, and obtains the evidence hash value from the blockchain for comparison and verification, and returns the verified traceability file information.

[0029] Preferably, in step S3, the packaging process perception further includes a real-time packaging quality assessment step: real-time acquisition of the pressure change curve and the diameter change curve of the cotton bale during the compression process, inputting the pressure change curve and the diameter change curve of the cotton bale into the forming quality assessment model, calculating the cotton bale forming quality score, and when the score is lower than the preset quality threshold, adjusting the compression parameters of the packaging execution module in real time and generating a quality warning signal to push to the operation terminal.

[0030] Preferably, in step S8, the traceability query adopts a hierarchical query mechanism: the access permission level is determined according to the identity authentication information of the querying party. The access permission level includes public level, buyer level and regulatory level. The public level only returns the place of origin and packaging time, the buyer level adds impurity rate, moisture regain rate and weight, and the regulatory level returns the full data and blockchain evidence information.

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] 1. This invention uses a traceability label management module to write the packaging process information collected in real time by the multi-source sensing module into the traceability label sealed with the cotton bale. At the same time, the data fusion unit of the information control platform associates and merges the multi-source data of the same cotton bale in real time according to the timestamp and cotton bale identifier to generate a full-process traceability file. The blockchain storage unit stores the hash value of the file on the blockchain for evidence. Thus, the cotton bale itself carries complete packaging process data, and downstream links can directly read the data stored in the label through RFID readers or scanning QR codes without network access. At the same time, the hash value of the full-process traceability file is stored on the blockchain for evidence. Any tampering with the traceability data will result in hash comparison failure, which technically ensures the immutability and credibility of the traceability information, thereby improving the reliability of cotton quality traceability.

[0033] 2. This invention integrates a packaging quality monitoring unit into a multi-source sensing module. By using multiple pressure sensors and displacement sensors installed in the compression molding unit, the system collects the pressure change curves and cotton bale diameter change curves during the cotton bale compression process in real time, and inputs them into the molding quality assessment model to calculate a quality score. When the score is lower than a preset threshold, the system adjusts the compression parameters in real time and pushes an early warning signal to the operation terminal. This solution enables packaging quality abnormalities to be detected and corrected in a timely manner during the production process, thereby reducing the risk of unqualified cotton bales flowing into subsequent stages, reducing quality losses and rework costs, and improving the first-pass yield of packaging operations.

[0034] 3. The information management platform of this invention, through the collaborative units of the industrial chain, adopts a role-based access control strategy to provide hierarchical access interfaces for different participants such as cotton purchasers, processors, logistics providers, and regulatory agencies. Public-level queries only return the place of origin and packaging time, meeting consumers' need for information. Purchaser-level queries can additionally obtain information such as impurity content, moisture regain, and weight to assist in purchasing decisions. Regulatory-level queries can obtain full traceability files and blockchain-based evidence information, meeting regulatory audit requirements. This hierarchical mechanism not only protects trade secrets but also achieves a balance between transparency and security of industrial chain information. At the same time, by recording each access operation through blockchain, auditable traceability of access behavior is achieved.

[0035] 4. The information management platform of this invention integrates a production scheduling optimization unit. Based on a genetic algorithm, it generates an optimal scheduling strategy with packaging efficiency, energy consumption, and equipment utilization as optimization objectives. This solution can automatically adjust the packaging sequence, compression parameter adjustment suggestions, and equipment maintenance prompts according to real-time operation status, cotton quality distribution data, and historical packaging efficiency, realizing adaptive scheduling of packaging operations. Compared with traditional manual scheduling, this invention can effectively balance production efficiency and energy consumption, improve equipment utilization, reduce unit energy consumption, thereby reducing operating costs and improving the overall economic benefits of the cotton packaging process. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of the system module architecture of the present invention;

[0037] Figure 2 This is a schematic diagram of the overall workflow of the present invention;

[0038] Figure 3 This is a schematic diagram of the traceability label generation sub-process of the present invention;

[0039] Figure 4 This is a schematic diagram of the packaging process perception and real-time quality assessment sub-process of the present invention;

[0040] Figure 5 This is a schematic diagram of the data fusion and blockchain evidence storage sub-process of the present invention;

[0041] Figure 6 This is a schematic diagram of the source tracing query hierarchical response sub-process of the present invention;

[0042] Figure 7 This is a schematic diagram of the lifecycle management sub-process of the packaging film of the present invention;

[0043] Figure 8 This is a schematic diagram of the production scheduling optimization sub-process of the present invention. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] Example 1: Please refer to Figure 1 A cotton production packaging traceability information management and control integrated system: the system includes a packaging execution module, a multi-source sensing module, a traceability label management module, and an information management and control platform;

[0046] The baling execution module is used to perform cotton baling operations. Specifically, the baling execution module includes, but is not limited to, a cotton collection unit, a compression forming unit, a wrapping and winding unit, and a bale exiting unit. The compression forming unit is used to compress the collected cotton into cotton bales of a predetermined shape and density. The wrapping and winding unit is used to wrap the compressed cotton bales with baling film to protect the cotton bales and facilitate identification. The baling execution module adopts a hydraulic or mechanical drive and can automatically complete the entire baling process according to the received control commands. The multi-source sensing module is fixedly set at the junction of the compression forming unit and the wrapping and winding unit. This position can ensure that the sensor collects the most accurate quality parameters after the cotton bales are compressed and before the wrapping and winding.

[0047] The multi-source sensing module includes a contamination rate detection sensor, a moisture regain detection sensor, a cotton bale weighing sensor, a packing film usage status detection unit, and an environmental parameter acquisition unit. The contamination rate detection sensor uses a hyperspectral imaging sensor, which collects hyperspectral images of the cotton bale surface and performs pixel-level classification using a pre-trained deep learning model to calculate the proportion of impurities in the cotton bale. The moisture regain detection sensor uses a capacitive or microwave type moisture regain detection sensor, which calculates the cotton moisture regain by detecting the dielectric constant or microwave attenuation of the cotton bale. The cotton bale weighing sensor uses a high-precision strain gauge type weighing sensor, which is installed at the bottom of the compression molding unit to measure the net weight of the cotton bale. The packing film usage status detection unit includes a photoelectric encoder and a remaining length calculation module, which is used to monitor the consumption of packing film and the remaining usable length. The environmental parameter acquisition unit includes a temperature sensor and a humidity sensor, which are used to record the temperature and humidity conditions at the packing operation site.

[0048] The traceability label management module includes a label generation unit, a label writing unit, and a label anti-counterfeiting verification unit. The label generation unit generates a globally unique traceability code for each cotton bale. This traceability code can be a combination of "plot code + harvest batch number + sequence number" to ensure global uniqueness. The label writing unit writes the traceability code and packaging process information such as impurity content, moisture regain, and weight collected in real time by the multi-source sensing module into an RFID electronic tag located on the non-adhesive side of the packaging film via an RFID reader. At the same time, the label management module also encodes the traceability code into a QR code graphic and a plaintext serial number, which are printed on the corresponding position on the outside of the packaging film by the matching printing equipment. The label anti-counterfeiting verification unit uses the RSA asymmetric encryption algorithm to digitally sign the traceability code with a private key to generate an encrypted verification code. The private key is stored in the encryption hardware (such as HSM or security chip) of the label management module, and the public key is publicly used for verification. The encrypted verification code and the traceability code are written together into the RFID electronic tag. When querying, the verification code can be decrypted with the public key and compared with the label content to prevent label counterfeiting.

[0049] The information management platform is deployed on a cloud server or local industrial control computer, and is connected to the packaging execution module, multi-source sensing module, and traceability label management module via industrial Ethernet, 5G, or Wi-Fi. The information management platform includes:

[0050] Data acquisition unit: Receives and stores packaging process data uploaded by the multi-source sensing module and traceability label data generated by the traceability label management module to form the original database;

[0051] Data fusion unit: Real-time association and fusion of multi-source data of the same cotton bale according to timestamp and cotton bale identifier, removing redundancy, aligning time sequence, and generating a structured full-process traceability file. This file includes basic information of the cotton bale (traceability code, packing time, geographical location), quality parameters (impurity rate, moisture regain rate, weight), process parameters (compression pressure curve, number of wrapping layers, etc.), environmental parameters (temperature and humidity), and packing film usage records, etc.

[0052] Blockchain Evidence Storage Unit: Calculates the hash value of the full-process traceability file, uploads the hash value to a blockchain network such as Hyperledger Fabric or Ethereum for evidence storage, records the block height and evidence storage timestamp, and populates it back into the traceability file;

[0053] Query Response Unit: Provides a RESTful API or web query interface to receive cotton bale traceability codes input from external sources (supports RFID near-field reading, QR code scanning, or manual input), retrieves the corresponding full-process traceability files from the local database, and obtains the evidence hash value from the blockchain for comparison. If the two match, the verified file information is returned; otherwise, a warning is issued that the data may have been tampered with.

[0054] Production scheduling optimization unit: It acquires the real-time operation status (idle or busy) of the packaging execution module, the quality distribution data of cotton to be packaged collected by the multi-source sensing module (such as the distribution of impurity content of cotton from different plots), and historical packaging efficiency data (time consumed per bale, energy consumption, equipment failure rate, etc.). Based on the genetic algorithm, it generates a scheduling strategy. The optimization objectives of the genetic algorithm include maximizing packaging efficiency, minimizing unit energy consumption, and balancing equipment utilization. The output scheduling strategy includes priority ranking of cotton bales to be packaged, parameter adjustment suggestions such as compression force and holding time of the compression forming unit, and equipment maintenance time window prompts.

[0055] Supply chain collaboration unit: It adopts a role-based access control strategy to provide hierarchical access interfaces for different participants such as cotton purchasers, processors, logistics providers, and regulatory agencies. Different roles have different data access permissions, and each access operation is recorded through blockchain to achieve auditable operation.

[0056] Then, when the system is working, the packaging execution module first starts the cotton packaging operation, the multi-source sensing module collects various parameters in real time, the traceability label management module generates traceability codes and writes them into the labels, and at the same time, the data is uploaded to the information management platform. The information management platform performs data fusion and blockchain notarization, and finally forms a reliable full-process traceability archive.

[0057] Example 2: Please refer to Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 and Figure 7 A method for integrated management and control of packaging traceability information in cotton production: The method includes the following steps:

[0058] S1. Packaging Start-up: The operator starts the packaging execution module through the human-machine interface or remote command. The cotton collection unit begins to collect cotton, and the compression molding unit prepares to compress.

[0059] S2. Traceability Label Generation: The traceability label management module generates a globally unique cotton bale traceability code for the current packaging operation. The specific sub-steps are as follows:

[0060] S21. Generate a combined traceability code containing the plot code, harvest batch number, and sequence number, such as "MH-2026-004-1234";

[0061] S22. Use the RSA private key to digitally sign the combined traceability code and generate an encrypted verification code;

[0062] S23. Write the combined traceability code and the encrypted verification code into the storage area of ​​the RFID electronic tag;

[0063] S24. Encode the combined traceability code into a QR code graphic and a plain text sequence code, and print them on the corresponding positions on the outside of the packaging film using thermal transfer or inkjet printing equipment.

[0064] S25. Read back the written data through the RFID reader to verify the correctness of the writing. If the verification fails, rewrite or issue an alarm.

[0065] S3. Packaging Process Sensing and Real-time Quality Assessment: During compression molding and wrapping, the multi-source sensing module collects real-time data on the impurity content of the cotton bale (through hyperspectral imaging analysis), moisture regain (through a capacitive sensor), weight (through a weighing sensor), ambient temperature and humidity, and the usage status of the packaging film (through an encoder monitoring the remaining length of the film roll), forming a real-time data stream of the packaging process. Simultaneously, the packaging quality monitoring unit collects real-time pressure change curves from multiple pressure sensors and cotton bale diameter change curves from displacement sensors in the compression molding unit, with a sampling frequency of 10Hz. The pressure change curves and cotton bale diameter change curves are input into a pre-trained molding quality assessment model (such as an LSTM-based neural network model). The input layer of this model receives the pressure value sequence and diameter value sequence sampled at 10Hz, and the output layer outputs a cotton bale molding quality score (0-100 points). When the score is lower than the preset quality threshold (75 points), the compression parameters of the packaging execution module are adjusted in real-time (such as increasing the holding pressure or extending the holding time), and a quality warning signal is generated and pushed to the operation terminal.

[0066] S4. Tag writing and data synchronization: The impurity rate, moisture regain rate and weight data in the real-time data stream of the packaging process are written to the storage area of ​​the traceability tag in real time through the RFID reader (supports multiple writing, overwrite or append methods). At the same time, all packaging process data (including pressure curve, diameter curve, temperature and humidity, membrane usage status, etc.) are uploaded to the information management platform through the communication network.

[0067] S5. Data Fusion and Archive Generation: The data fusion unit of the information management platform will link and merge multi-source data of the same cotton bale according to timestamp and cotton bale identifier to generate a full-process traceability archive. Before fusion, data cleaning and anomaly detection will also be performed.

[0068] S6. Blockchain Evidence Preservation: The blockchain evidence preservation unit calculates the hash value of the full-process traceability file, puts the hash value on the blockchain for evidence preservation, and records the returned block height and evidence preservation timestamp into the full-process traceability file.

[0069] S7. Packaging and Label Sealing: After the wrapping film is wrapped, the packaging unit pushes out the cotton bale. The traceability label (including RFID tag, QR code and clear code) is tightly sealed on the surface of the cotton bale along with the packaging film and enters the warehousing and circulation process with the cotton bale.

[0070] S8. Traceability Inquiry: Downstream users (such as buyers) use handheld terminals or mobile apps to scan the QR code on the cotton bales or approach the RFID tags to read the cotton bale traceability code. After receiving the traceability code, the query response unit retrieves the corresponding full-process traceability file from the local database and simultaneously obtains the evidence hash value from the blockchain for comparison and verification. If the hash values ​​match, the access permission level (public, buyer, or regulator) is determined based on the identity authentication information of the querying party, and data of corresponding granularity is returned. For example, public level returns the place of origin and packaging time; buyer level returns the impurity content, moisture regain, and weight; regulator level returns the full data and blockchain evidence information.

[0071] Packing film lifecycle management: The information management platform records the roll ID, usage time, number of cotton bales already packaged, and remaining usable length of each roll of packaging film. When the remaining usable length is lower than the preset warning threshold (e.g., 5 meters), a packaging film replacement reminder is automatically generated, and the current packaging film usage record (roll ID, usage time period, corresponding cotton bale batch) is associated with the cotton bale traceability file of the corresponding batch, realizing full traceability from film to bale.

[0072] This enables real-time information collection, label writing, integrated evidence storage, and hierarchical querying during the cotton baling process, significantly improving the credibility and convenience of cotton traceability.

[0073] Example 3: Please refer to Figure 8 An integrated system and method for managing and controlling the packaging traceability information for cotton production: Based on Examples 1 and 2, the production scheduling optimization function of the information management and control platform is further optimized;

[0074] The production scheduling optimization unit generates scheduling strategies based on genetic algorithms. Specifically, each cotton bale in the packaging task queue is regarded as a job and encoded as a chromosome. The binary encoding method is used, and the gene position of each chromosome corresponds to the priority weight or compression parameter level of a cotton bale. The population size is set to 50, the number of iterations is 200, the crossover probability is set to 0.8, and the mutation probability is set to 0.05.

[0075] The objective function is set as follows:

[0076]

[0077] in, To improve packaging efficiency (packets / hour), Energy consumption per unit (kWh / pack). This represents the highest unit energy consumption in history (used for normalization). For equipment utilization (0-1), the weight is... , , This can be adjusted according to actual production needs; the settings in this embodiment are as follows. =0.5 (efficiency priority) =0.3 (energy consumption control) =0.2 (equipment utilization rate), and satisfies + + =1;

[0078] The genetic algorithm includes selection (using a roulette wheel strategy), single-point crossover, and basic position mutation operations. After multiple generations of iteration, it outputs a Pareto front solution set. Operators can select the optimal solution from this set as the current scheduling strategy. The scheduling strategy includes: priority ranking of cotton bales to be packaged (e.g., prioritizing bales with low impurity content to reduce equipment contamination), adjustment suggestions for compression parameters (pressure, holding time, and decompression speed) of the compression unit, and equipment maintenance tips (e.g., cleaning the cotton collection pipe after accumulating 100 bales).

[0079] Through this optimization unit, the system can adaptively adjust the packaging operation plan, improving overall production efficiency and equipment lifespan while ensuring the integrity of traceability information.

[0080] The working principle is as follows: The traceability label management module writes the packaging process information collected in real time by the multi-source sensing module into the traceability label sealed with the cotton bale. Simultaneously, the data fusion unit of the information control platform correlates and merges the multi-source data from the same cotton bale according to timestamps and bale identifiers in real time to generate a full-process traceability file. The blockchain storage unit then stores the hash value of this file on the blockchain for verification. Thus, the cotton bale itself carries complete packaging process data, allowing downstream processes to directly read the data stored in the label using an RFID reader or by scanning a QR code without needing an internet connection. Furthermore, the hash value of the full-process traceability file is stored on the blockchain for verification; any tampering with the traceability data will result in a hash comparison. To ensure the immutability and reliability of traceability information and thus improve the reliability of cotton quality traceability, a packaging quality monitoring unit is integrated into the multi-source sensing module. Multiple pressure and displacement sensors installed in the compression molding unit collect real-time pressure and diameter change curves during the cotton bale compression process. These curves are then input into a molding quality assessment model to calculate a quality score. When the score falls below a preset threshold, the system adjusts compression parameters in real time and sends an early warning signal to the operating terminal. This solution allows packaging quality anomalies to be detected and corrected promptly during production, thereby reducing the risk of substandard cotton bales flowing into subsequent stages and minimizing [the risk of further defects]. To reduce quality losses and rework costs, and improve the first-pass yield of packing operations, the information management platform, through supply chain collaboration units, employs a role-based access control strategy. This provides tiered access interfaces for different participants, including cotton buyers, processors, logistics providers, and regulatory agencies. Public-level queries only return the origin and packing time, meeting consumers' information needs. Buyer-level queries can additionally obtain information such as impurity content, moisture regain, and weight to assist in purchasing decisions. Regulatory-level queries can access full traceability records and blockchain-based evidence, meeting regulatory audit requirements. This tiered mechanism protects trade secrets while achieving a balance between transparency and security in the supply chain information. Blockchain records every access operation, enabling auditable and traceable access behavior. The information management platform integrates a production scheduling optimization unit, which generates the optimal scheduling strategy based on a genetic algorithm with packaging efficiency, energy consumption, and equipment utilization as optimization objectives. This solution can automatically adjust the packaging sequence, compression parameter adjustment suggestions, and equipment maintenance prompts based on real-time operation status, cotton quality distribution data, and historical packaging efficiency, achieving adaptive scheduling of packaging operations. Compared with traditional manual scheduling, this invention can effectively balance production efficiency and energy consumption, improve equipment utilization, reduce unit energy consumption, thereby reducing operating costs and improving the overall economic benefits of the cotton packaging process.

[0081] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within the present invention.

Claims

1. A cotton production packaging traceability information management and control integrated system, characterized in that, include: A packing execution module is used to perform cotton packing operations. The packing execution module includes a compression molding unit and a wrapping and winding unit. A multi-source sensing module is fixedly installed at the junction of the compression molding unit and the wrapping unit, and is used to collect information on the packaging process of the cotton bale during the packaging process. The traceability label management module is used to generate a globally unique traceability code for each cotton bale and write the traceability code and the packaging process information collected in real time by the multi-source sensing module into the traceability label set on the packaging film. The information management and control platform, which is communicatively connected to the packaging execution module, the multi-source sensing module, and the traceability tag management module, includes: The data fusion unit is used to link and fuse multi-source data of the same cotton bale in real time according to timestamp and cotton bale identifier to generate a full-process traceability file. A blockchain-based evidence storage unit is used to calculate the hash value of the full-process traceability file and store it on the blockchain. The query response unit is used to respond to external query requests and return the corresponding full-process traceability file based on the cotton bale traceability code.

2. The integrated system for managing and controlling traceable packaging information in cotton production according to claim 1, characterized in that: The multi-source sensing module includes a contamination rate detection sensor, a moisture regain rate detection sensor, a cotton bale weighing sensor, a packaging film usage status detection unit, and an environmental parameter acquisition unit.

3. The integrated system for managing and controlling traceable packaging information in cotton production according to claim 2, characterized in that: The impurity detection sensor is a hyperspectral imaging sensor, and the moisture regain detection sensor is a capacitive or microwave moisture regain detection sensor.

4. The integrated system for managing and controlling traceable packaging information in cotton production according to claim 1, characterized in that: The packaging process information includes cotton quality parameters, packaging process parameters, and environmental parameters.

5. The integrated system for managing and controlling traceable packaging information in cotton production according to claim 1, characterized in that: The traceability label includes at least one RFID electronic tag disposed on the inner side of the packaging film (not on the adhesive film), and a QR code label and a plaintext serial number label printed on the outer side of the packaging film. The RFID electronic tag, QR code label, and plaintext serial number label carry the same and unique cotton bag traceability code. The traceability label management module also includes a label anti-counterfeiting verification unit, which generates an encrypted verification code during the label writing process and writes the encrypted verification code into the RFID electronic tag. The encrypted verification code is generated based on the RSA algorithm, and the private key is stored in the encryption hardware of the traceability label management module.

6. The integrated system for managing and controlling traceable packaging information in cotton production according to claim 1, characterized in that: The multi-source sensing module also includes a packaging quality monitoring unit, which includes multiple pressure sensors and displacement sensors installed in the compression molding unit. These sensors are used to collect pressure change curves and cotton bale diameter change curves during the cotton bale compression process in real time. The information management platform evaluates the cotton bale forming quality in real time based on the pressure change curves and cotton bale diameter change curves. When the evaluation value is lower than a preset quality threshold, a quality warning signal is generated.

7. The integrated system for managing and controlling traceable packaging information in cotton production according to claim 1, characterized in that: The information management and control platform also includes a production scheduling and optimization unit, which is used to obtain the real-time operation status of the packaging execution module, cotton quality distribution data collected by the multi-source sensing module, and historical packaging efficiency data. Based on the genetic algorithm, it generates a scheduling strategy, which includes packaging order, parameter adjustment suggestions, and equipment maintenance prompts. The information management and control platform also includes a supply chain collaboration unit, which is used to provide hierarchical access interfaces to cotton purchasers, processors, and logistics providers. Different participants can obtain the corresponding link data in the cotton bale traceability file according to their authorized permissions.

8. A method for integrated management and control of cotton production packaging traceability information, applicable to the integrated management and control system for cotton production packaging traceability information as described in any one of claims 1-7, characterized in that: Includes the following steps: S1. Packaging Startup: Start the packaging execution module and begin the cotton packaging operation; S2. Traceability Label Generation: Generate a globally unique cotton bale traceability code for the current packaging operation, and write the cotton bale traceability code into the traceability label set on the packaging film; S3. Packaging process sensing: During the packaging process, the impurity content, moisture regain, weight, ambient temperature and humidity, and packaging film usage status of the cotton bales are collected in real time to form a real-time data stream of the packaging process; S4. Label writing and data synchronization: The impurity rate, moisture regain rate and weight data in the real-time data stream of the packaging process are written to the storage area of ​​the traceability label in real time, and all packaging process data is uploaded to the information management platform. S5. Data Fusion and Archive Generation: Multi-source data of the same cotton bale are associated and merged according to timestamp and cotton bale identifier to generate a full-process traceability archive. S6. Blockchain Evidence Preservation: Calculate the hash value of the full-process traceability file, upload the hash value to the blockchain for evidence preservation, and record the block height and evidence preservation timestamp in the full-process traceability file; S7. Packing and Labeling: After the packing operation is completed, the cotton bales are released, and the traceability label is sealed on the surface of the cotton bales along with the packing film. S8. Traceability Query: Responds to external query requests, retrieves the corresponding full-process traceability file based on the cotton bale traceability code, and obtains the evidence hash value from the blockchain for comparison and verification, and returns the verified traceability file information.

9. The integrated method for managing and controlling traceability information in cotton production packaging according to claim 8, characterized in that: In S3, the packaging process perception also includes a real-time packaging quality assessment step: real-time acquisition of pressure change curves and cotton bale diameter change curves during the cotton bale compression process, inputting the pressure change curves and cotton bale diameter change curves into the forming quality assessment model, calculating the cotton bale forming quality score, and when the score is lower than the preset quality threshold, adjusting the compression parameters of the packaging execution module in real time and generating a quality warning signal to push to the operation terminal.

10. The integrated method for managing and controlling traceable packaging information in cotton production according to claim 8, characterized in that: In S8, the traceability query adopts a hierarchical query mechanism: the access permission level is determined according to the identity authentication information of the querying party. The access permission level includes public level, buyer level and regulatory level. The public level only returns the place of origin and packaging time, the buyer level adds impurity rate, moisture regain rate and weight, and the regulatory level returns the full data and blockchain evidence information.

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