CN-121998512-A - Rice processing digital twin and quality control management system oriented to full chain quality tracing

CN121998512ACN 121998512 ACN121998512 ACN 121998512ACN-121998512-A

Abstract

The invention discloses a rice processing digital twin and quality control management system oriented to full chain quality tracing, and relates to the technical field of rice processing quality control and tracing, comprising a multi-dimensional sensing layer, a quaternary collaborative digital twin model layer, a block chain twin double-track tracing layer, a historical process-quality database, an intelligent quality control optimizing layer driven by raw grain characteristics, a distributed data center and an authority dynamic management and control module; according to the invention, a dynamic backtracking quality forming process is supported through block chain double-track tracking and virtual-real verification, the tracking reliability is obviously improved, the raw grain characteristics drive personalized process generation, the virtual debugging pre-judging risk is combined, the traditional fixing process and post detection limitation are broken through, the finished product standard rate is improved, the full flow of the quality problem of quaternary twin model reduction is improved, the cross-link root cause is accurately positioned, the analysis efficiency is improved, the data safety is ensured by the authority management and distribution framework, and the method is suitable for enterprises of different scales and rice processing full scenes.

Inventors

Pei Hongpeng
ZHAO CUIPING
PEI JINGANG

Assignees

汉川市大地米业有限公司

Dates

Publication Date: 20260508
Application Date: 20260210

Claims (10)

1. The rice processing digital twin and quality control management system oriented to full chain quality tracing is characterized by comprising a multi-dimensional sensing layer, a quaternary cooperative digital twin model layer, a block chain twin double-track tracing layer, a historical process-quality database, an intelligent quality control optimizing layer driven by raw grain characteristics, a distributed data center and a permission dynamic management and control module; The multi-dimensional sensing layer is deployed on a full link of rice processing, and acquires multi-dimensional sensing data in real time through a fusion acquisition network to form a full link standardized sensing data set; The quaternary collaborative digital twin model layer is used for constructing a quaternary collaborative model comprising a material twin body, a device twin body, a process twin body and a mass twin body; The block chain twin double-track tracing layer receives simulation data of a full-link standardized perception data set and a quaternary cooperative model, a trusted data base is linked in an encrypted hash value form through virtual-real data bidirectional verification, and meanwhile, a unique twin tracing ID is distributed for each batch of products; The historical process-quality database is used for storing historical process-quality associated data in the whole link of rice processing; The intelligent quality control optimizing layer driven by the grain characteristics is based on driving data of a material twin body, generates personalized process parameter scheme to drive self-adaptive adjustment of processing equipment by combining historical process-quality association data, and virtually debugs and prejudges quality risks through the process twin body; The distributed data center is used for constructing a three-level storage architecture comprising a real-time library, a history library and a twin model library, and classifying and storing sensing, simulation, uplink data and an optimization scheme; And the authority dynamic management and control module dynamically allocates system authorities based on user roles and operation scenes and is used for synchronously uplink backup of the operation tracks of the system operation log and the quaternary collaborative model.
2. The full-chain quality traceable rice processing digital twin and quality control management system is characterized in that when the multi-dimensional sensing layer is deployed on a rice processing full-chain, the multi-dimensional sensing layer is particularly deployed on a planting field block, a raw grain warehouse, a processing production line, a packaging line, a logistics link and a terminal point of sale, the fusion acquisition network comprises a gene characteristic detection module, a multi-physical field sensor group, a visual dynamic detection unit and a terminal feedback acquisition module, the gene characteristic detection module acquires raw grain variety purity and disease resistance gene association data through a near infrared spectrum technology, the multi-physical field sensor group comprises a soil moisture content-fertilizer sensor, a device vibration-temperature-pressure sensor and a material flow microenvironment temperature and humidity-vibration-oxygen concentration sensor, the visual dynamic detection unit adopts a high-speed industrial camera to combine a machine vision algorithm, the material form change, the broken rice rate dynamic evolution and the package integrity data are acquired in real time, and the terminal feedback acquisition module acquires consumer feedback and terminal sampling data through code scanning questionnaire and quality detection equipment butt joint.
3. The full-chain quality traceable rice processing digital twin and quality control management system is characterized in that the multi-dimensional sensing layer fusion acquisition network further comprises a raw grain pesticide residue rapid detection sensor and a logistics impact sensor, wherein the raw grain pesticide residue rapid detection sensor is used for detecting the raw grain pesticide residue content, the impact sensor is used for recording impact times and duration of more than or equal to 0.5g in a logistics process in a logistics link, and acquired raw grain pesticide residue content, impact times and duration related data are related to a quaternary cooperative model.
4. The full-chain quality traceable rice processing digital twin and quality control management system according to claim 3, wherein the synergy mechanism of the quaternary synergy digital twin model layer is as follows: the material twin body dynamically updates material attribute parameters based on real-time physical and chemical properties of the raw grains and outputs raw grain processing suitability scores; The equipment twin body receives data of the multi-physical field sensor group, simulates the abrasion degree and the processing precision attenuation trend of key parts of the equipment, and outputs the processing capacity threshold of the equipment; Simulating material circulation and processing effects under different process parameter combinations by a process twin body based on the raw grain processing suitability score and the equipment processing capacity threshold value, and constructing a parameter-state coupling matrix; The quality twin body extracts dynamic data of the material twin body, the equipment twin body and the process twin body in real time, and outputs real-time quality scores and potential risk points through a mapping model of physical parameters and quality indexes.
5. The full-chain quality traceable rice processing digital twin and quality control management system according to claim 4, wherein the quaternary collaborative digital twin model layer further comprises a model self-calibration unit, the model self-calibration unit periodically collects deviation values of physical actual data and simulation data, and adopts a Bayesian optimization algorithm to iteratively update model parameters so as to ensure that model simulation accuracy is stabilized within a threshold value for a long time.
6. The full-chain quality traceable rice processing digital twin and quality control management system according to claim 1 is characterized in that a bidirectional verification mechanism of the block chain twin double-track traceable layer is that original data and quality detection results collected by a multi-dimensional sensing layer are encrypted and uplink by a timestamp, simulation data, virtual-real data comparison results and quality evolution tracks of a quaternary twin model are encrypted and uplink, then two-track data are associated through hash values, and deviation verification is carried out on physical data and simulation data before uplink.
7. The full-chain quality traceable rice processing digital twin and quality control management system according to claim 6, wherein when the block chain twin double-track traceable layer performs deviation verification on physical data and simulation data, the block chain twin double-track traceable layer automatically triggers re-acquisition and model calibration when the deviation exceeds the deviation, and supports the invocation of a digital quaternary collaborative model through 'twin traceable ID'.
8. The full-chain quality traceable rice processing digital twin and quality control management system is characterized in that the intelligent quality control optimization layer driven by raw grain characteristics comprises a raw grain characteristic clustering module, a virtual process debugging module, a quality pre-judging model and a parameter self-adaptive execution module, the raw grain characteristic clustering module divides raw grains into N types of processing adaptation types through a K-means algorithm based on raw grain moisture, impurity, variety, hardness and other data, the virtual process debugging module simulates the processing effects of different processing parameters on different types of raw grains through a process twin body to generate personalized process parameter combinations, the quality pre-judging model is based on an LSTM-gradient lifting tree mixing algorithm, the raw grain characteristic data, equipment state data and environmental parameters are input, key quality indexes such as a finished product broken rice rate, whiteness and Huang Bianlv are predicted, and the parameter self-adaptive execution module sends the optimized process parameters to processing equipment in real time to realize dynamic adjustment.
9. The full-chain quality traceable rice processing digital twin and quality control management system according to claim 1, wherein the distributed data center comprises a real-time data processing engine, a twin model parameter library, a blockchain traceable database and a quality optimization scheme library, the real-time data processing engine adopts a stream computing framework, the twin model parameter library stores model optimal parameters under different grain types and equipment states and supports automatic calling and iterative updating, the blockchain traceable database adopts an on-chain hash+under-chain detail storage mode, key index data is stored on a chain, complete perception and simulation data is stored under the chain, rapid retrieval and traceability are supported, and the quality optimization scheme library records historical quality problems and corresponding optimization schemes and supports a four-element twin model-based deduction scheme effect.
10. The full-chain quality traceable rice processing digital twin and quality control management system is characterized by further comprising a cross-link quality cause twin deduction module, wherein the cross-link quality cause twin deduction module calls a quaternary twin model based on block chain traceable data, restores a full-flow dynamic scene of quality problems, simulates influence weights of different link parameters on quality indexes through a control variable method, accurately locates quality cause links, supports implementation effects of a deduction optimization scheme in the quaternary twin model, and outputs an optimal solution.

Description

Rice processing digital twin and quality control management system oriented to full chain quality tracing Technical Field The invention relates to the technical field of rice processing quality control and tracing, in particular to a rice processing digital twin and quality control management system for full-chain quality tracing. Background The rice is used as the main ration in China, and the processing quality and the safety of the rice are directly related to the health and the market order of consumers. The whole chain for rice processing covers a plurality of links such as planting, storage, processing, logistics, sales and the like, and quality influence factors are complicated, and the current rice processing industry faces the problem of whole chain quality control and traceability, and particularly has obvious short boards: The equipment simulation of the digital twin multi-focus single processing link of the existing system does not construct the cooperative mapping of 'raw grain-equipment-process-quality', only static data is recorded in a trace way, and the dynamic process formed by quality cannot be restored, so that root cause analysis is difficult; the traditional block chain tracing only uploads the physical acquisition data, lacks virtual and real data bidirectional verification, is easy to generate tracing distortion caused by data tampering or acquisition errors, and cannot verify the consistency of the data and the actual processing process; Most of the existing processing technologies are fixed parameters or manual experience adjustment, personalized schemes are generated without combining real-time characteristics (such as moisture, varieties and impurities) of raw grains, quality control depends on post detection, and quality risks in the processing process cannot be prejudged in advance; the existing system only positions root causes through data statistics, cannot restore the whole flow of quality problems, is difficult to distinguish whether the influence of planting, processing, storage or logistics links is difficult, and the optimization scheme lacks dynamic verification. Therefore, the invention provides a rice processing digital twin and quality control management system for full chain quality tracing so as to solve the defects in the prior art. Disclosure of Invention Aiming at the problems, the invention aims to provide a full-chain quality traceable rice processing digital twin and quality control management system, which improves traceability through block chain double-track traceability and virtual and real verification, drives a personalized process through raw grain characteristics, prejudges quality risks, breaks through traditional limitations, restores a full flow of quality problems through a quaternary twin model, accurately positions root causes, ensures safety through authority control and a distributed architecture, and is suitable for full-scene rice processing and enterprises of different scales. In order to achieve the above purpose, the present invention provides the following technical solutions: The rice processing digital twin and quality control management system for the full chain quality tracing comprises a multidimensional sensing layer, a quaternary cooperative digital twin model layer, a block chain twin double-track tracing layer, a historical process-quality database, an intelligent quality control optimizing layer driven by raw grain characteristics, a distributed data center and a permission dynamic management and control module; The multi-dimensional sensing layer is deployed on a full link of rice processing, and acquires multi-dimensional sensing data in real time through a fusion acquisition network to form a full link standardized sensing data set; The quaternary collaborative digital twin model layer is used for constructing a quaternary collaborative model comprising a material twin body, a device twin body, a process twin body and a mass twin body; The block chain twin double-track tracing layer receives simulation data of a full-link standardized perception data set and a quaternary cooperative model, a trusted data base is linked in an encrypted hash value form through virtual-real data bidirectional verification, and meanwhile, a unique twin tracing ID is distributed for each batch of products; The historical process-quality database is used for storing historical process-quality associated data in the whole link of rice processing; The intelligent quality control optimizing layer driven by the grain characteristics is based on driving data of a material twin body, generates personalized process parameter scheme to drive self-adaptive adjustment of processing equipment by combining historical process-quality association data, and virtually debugs and prejudges quality risks through the process twin body; The distributed data center is used for constructing a three-level storage architecture comprising a real-time library, a history l