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CN-122022649-A - Dynamic distribution method and system for frozen fresh fruits

CN122022649ACN 122022649 ACN122022649 ACN 122022649ACN-122022649-A

Abstract

The invention discloses a dynamic distribution method and a system of frozen fresh fruits, which relate to the technical field of cold chain logistics, wherein non-contact nondestructive in-situ detection is carried out on the frozen fresh fruits through Raman spectrum and a microfluidic chip, multisource environment and fruit information are synchronously fused to form a full-dimensional structured data set, a cell damage quantization algorithm is adopted to output partition damage indexes, a differential temperature control strategy is generated by combining physiological characteristics and maturity of the fruits and is executed in a closed loop mode, iteration regulation and control are carried out in a fixed period.

Inventors

  • HONG KEQIAN

Assignees

  • 中国热带农业科学院南亚热带作物研究所

Dates

Publication Date
20260512
Application Date
20260327

Claims (10)

  1. 1. A method for dynamically dispensing frozen fresh fruit, the method comprising: S100, in-situ detection, namely after cold chain distribution is started, carrying out non-contact and non-damage in-situ detection on frozen fresh fruits in the cold chain distribution through a Raman spectrum sensor and a microfluidic chip, collecting microstructure signals of pulp cells in real time, and completing acquisition and standardized pretreatment of key data related to ice crystal growth and cell membrane integrity, wherein a detection sampling period is synchronously matched with a whole period of the cold chain distribution; S200, data fusion is carried out synchronously and parallelly with in-situ detection, environment information of each partition of a cold chain carriage is synchronously collected, basic information of corresponding fruits is matched, and multi-source data are subjected to unified format arrangement, time axis alignment and normalization fusion treatment to form a full-dimensional structured data set; s300, damage quantification, namely comprehensively weighting the fused full-dimensional structured data set by adopting a cell damage quantification algorithm, and outputting a cell damage degree quantification index of the frozen fresh fruit corresponding to the partition, wherein the quantification index directly corresponds to the microscopic state of the fruit cells; S400, strategy generation, namely generating a differential temperature control strategy which is adapted to each independent partition of the carriage by adopting a dynamic temperature control correction algorithm in combination with the cell damage quantization index, the fruit cell physiological characteristic and the maturity level of the corresponding partition; s500, performing closed loop execution, namely performing regulation and control on each partition of the carriage according to the generated differential temperature control strategy, and repeatedly performing full-flow operation in a fixed period completely consistent with in-situ detection to form a continuous iterative closed loop intelligent temperature control distribution system.
  2. 2. The method of claim 1, wherein in step S100, the microstructure signals of the pulp cells include a distribution signal of ice crystal morphology, a signal of cell wall integrity, a signal of cell membrane potential fluctuation, a signal of cell interstitial molecule arrangement, and a signal of cell fluid refractive index change of the pulp cells of the frozen fresh fruits, the raman spectrum sensor emits a directional excitation spectrum to a detection area under the epidermis of the pulp cells of the frozen fresh fruits, directly collects characteristic scattered light signals generated by ice crystal, cell wall, cell membrane, and cell interstitium in the pulp cells, and the microfluidic chip sequentially performs light signal conversion, weak signal amplification, and noise filtering on the collected scattered light signals to extract and output microstructure characteristic signals corresponding to the distribution of ice crystal morphology, the cell wall integrity, the cell membrane potential fluctuation, the cell interstitial molecule arrangement, and the change of cell fluid refractive index.
  3. 3. The method of claim 1, wherein in step S200, the full-dimensional structured dataset includes environmental parameters of each partition of a cold chain carriage, basic information of corresponding fruits and in-situ detection microscopic data, and has unified format and time alignment standardized dataset, by collecting environmental information of temperature, humidity, vibration and oxygen concentration of each partition of the carriage, simultaneously automatically reading identification information of fruits by RFID radio frequency tag, matching variety, maturity and loading position basic information of the corresponding region fruits, synchronously integrating the microstructure preprocessing data of pulp cells obtained by in-situ detection, converting the three types of data into unified coding format and data unit, aligning all data according to the same collecting time stamp, and finally forming the full-dimensional structured dataset of each partition corresponding to one group of data including environment, fruits and microscopic detection.
  4. 4. The method according to claim 1, wherein in step S300, the mathematical expression of the cell damage quantification algorithm is: ; Wherein, the Is the index of comprehensive damage of cells; Is the sensitivity coefficient of fruit cells; Is Raman spectrum characteristic value, beta is ice crystal growth weight coefficient, G I is ice crystal real-time growth rate, gamma is cell membrane rupture weight coefficient; is the degree of cell membrane disruption; Coupling weight coefficients for the environment; is an environmental stress parameter.
  5. 5. The method for dynamically distributing frozen fresh fruits according to claim 1, wherein in the step S300, the quantitative index values are in one-to-one correspondence with the growth degree of ice crystals in pulp cells, the integrity of cell membranes and the structural integrity of interstitial cells, the quantitative index value intervals correspond to different microscopic states of the cells, the low value intervals correspond to small volume of ice crystals in the cells, the growth rate is gentle, the cell membranes are complete and have no rupture, the interstitial cells are compact, the medium value intervals correspond to volume expansion of ice crystals and the growth rate is fast, the cell membranes are locally damaged, the interstitial cells are loose, the high value intervals correspond to overgrowth of ice crystals and the structural compression of the cells, the cell membranes are ruptured in large areas, and the interstitial cells are completely destroyed.
  6. 6. The method according to claim 1, wherein in step S400, the cell physiological characteristics of the partitioned fruits include cell wall rigidity, cell membrane permeability, cytosolic concentration, ice crystal tolerance, cell respiration metabolism intensity and cell interstitial compactness of pulp cells, which are inherent physiological attributes of the corresponding fruits, the cell physiological characteristics of the different types of frozen fresh fruits are different, the cell walls of the berries are thinner, the cell membrane permeability is higher, the cytosolic concentration is lower, the tolerance to ice crystal growth is weaker, the cell walls of the stone fruits and tropical fruits are thicker, the cytosolic concentration is higher, the tolerance to ice crystal growth is stronger, in the process of generating a differential temperature control strategy, the cell physiological characteristic parameters of the corresponding partitioned fruits are adjusted, the temperature control parameters of each partition are matched through a dynamic temperature control correction algorithm, the temperature control parameters of the different partitions are more gently matched, and the temperature control amplitude of the fruits with weaker cell tolerance is more matched, and the temperature control intensity of the fruits with stronger temperature control parameters of the different partitions are matched.
  7. 7. The method for dynamically distributing frozen fresh fruits according to claim 1, wherein in the step S400, the maturity level is divided into different levels according to physiological maturity of fruits during picking, pre-harvest pretreatment time and quality detection results before distribution, three levels including incomplete maturity, suitable for picking and complete maturity are covered, each level corresponds to different physiological states and metabolic activities of cells, the dynamic representation of inherent physiological attributes of the fruits is achieved, the fruits of the incomplete maturity level have stronger metabolic activities of the cells, the cell wall structure is compact, the concentration of cytosol is higher, the adaptability to low-temperature environments is stronger, the metabolic activities of the fruits of the suitable picking and mature level are in a stable region, the structure of the cell wall is complete, the concentration of cytosol is in an adaptive region, the metabolic activities of the fruits of the complete maturation level are gradually attenuated, the structure of the cell wall is relaxed, the concentration of the cytosol is gradually reduced, and the tolerance to low-temperature fluctuation is weaker.
  8. 8. The method according to claim 1, wherein in step S400, the mathematical expression of the dynamic temperature control correction algorithm is: ; Wherein, the The temperature control correction coefficient is divided into areas; initial safety injury index for cells; mu is a partition temperature control regulating coefficient; standard safe humidity for fruits; The real-time oxygen concentration is used for the carriage.
  9. 9. The method of claim 1, wherein in step S400, the differential temperature control strategy is for each independent partition of the cold chain carriage, and the differential temperature control strategy is combined with a cell damage quantization index, a fruit cell physiological characteristic and a maturity level of the corresponding partition, the differential temperature control strategy of each partition is independent and noninterference with each other through a dedicated temperature control regulation scheme generated by a dynamic temperature control correction algorithm, the differential temperature control strategy of each partition comprises three regulation parameters of target temperature, target humidity and target oxygen concentration of the corresponding partition, the parameter values are obtained by correcting the partition temperature control correction coefficient output by the dynamic temperature control correction algorithm, the differential temperature control strategy of each partition is issued to a refrigerating, humidifying and air regulating executing mechanism of the corresponding partition, the executing mechanism carries out real-time regulation on the environmental parameters in the partition according to regulation targets in the strategy, and the regulating precision and regulating amplitude of the corresponding parameters are matched with the partitions of fruits with different cell damage states, different products and different maturity levels, and the independent operation of each partition is executed by the executing mechanism without influencing other temperature control states of the partitions.
  10. 10. A frozen fresh fruit dynamic delivery system suitable for use in a method of dynamic delivery of frozen fresh fruit as claimed in any one of claims 1 to 9, the system comprising: The in-situ detection module is used for carrying out non-contact and non-damage in-situ detection on frozen fresh fruits by utilizing the Raman spectrum sensor and the microfluidic chip after cold chain distribution is started, acquiring microstructure signals of pulp cells in real time, acquiring ice crystal growth and cell membrane integrity, carrying out standardized pretreatment, and synchronizing the detection period with the whole distribution process; The data fusion module is used for synchronously and parallelly detecting the temperature, humidity, vibration and oxygen concentration environment information of each partition of the cold chain carriage, matching the variety, maturity and loading position basic information of fruits, and carrying out unified format arrangement, time axis alignment and normalization fusion treatment on the multi-source data to form a full-dimensional structured data set; The damage quantification module is used for comprehensively weighting the fused full-dimensional structured data set by using a cell damage quantification algorithm and outputting a cell damage degree quantification index of the frozen fresh fruit corresponding to the partition, wherein the cell damage degree quantification index directly corresponds to the microscopic state of the fruit cells; the strategy generation module is used for generating a differential temperature control strategy which is adaptive to each independent partition of the carriage through dynamic temperature control correction processing according to the cell damage quantization index, the fruit cell physiological characteristic and the maturity level of each partition; And the closed-loop execution module is used for executing regulation and control on each partition of the carriage according to the generated differential temperature control strategy, and repeatedly executing the whole flow operation in a fixed period completely consistent with the in-situ detection to form a continuous iterative closed-loop intelligent temperature control distribution system.

Description

Dynamic distribution method and system for frozen fresh fruits Technical Field The invention relates to the technical field of cold chain logistics, in particular to a method and a system for dynamically distributing frozen fresh fruits. Background With the continuous perfection of fresh agricultural product circulation systems and the rapid development of fresh electronic commerce industry, the cross-regional and long-distance cold chain distribution demands of frozen fresh fruits continuously increase, the cold chain logistics technology becomes a core support technology for guaranteeing fresh fruit circulation quality and reducing circulation loss, the microstructure state of pulp cells of the frozen fresh fruits directly determines the final quality and shelf life of the fruits in the distribution process, the cell structure change in the low-temperature environment is a core factor influencing the deterioration of fresh fruits, so that the management and control core of the cold chain distribution process gradually changes from single environmental parameter control to precise monitoring and dynamic regulation of the internal physiological state of the fruits, the current cold chain logistics industry rapidly develops towards the intelligent, refined and full-process traceable directions, the non-destructive detection technology, the multi-source data fusion technology and the intelligent algorithm are applied in the integration of the cold chain field, and become important directions of industrial technology upgrading, and the market and industry have urgent application demands on the cold chain technology capable of grasping the internal quality state of the fruits in real time and realizing precise temperature control and regulation. The traditional frozen fresh fruit cold chain delivery technology takes the monitoring and control of carriage macroscopic environment parameters as the core, the whole environment in the cold chain carriage can only be roughly controlled, the microstructure change of frozen fresh fruit pulp cells in the delivery process can not be obtained in real time, the inherent real damage state and quality degradation process of the fruits can not be mastered, the monitoring data of the traditional technology are disjointed with the actual physiological state of the fruits, the direct correlation between the environment parameter change and the fruit cell damage can not be established, the formulated temperature control strategy lacks the accurate data support of the inherent state of the fruits, the unified temperature control mode is mostly adopted, the differentiated storage requirements of the fruits with different varieties and different maturity can not be adapted, the problem of insufficient temperature control suitability is very easy to occur, meanwhile, the traditional control mode of the cold chain delivery is mainly controlled in an open-loop mode, the control strategy can not be dynamically adjusted according to the real-time state of the fruits, the cell damage generated in the delivery process can not be timely intervened and relieved, finally, the irreversible quality degradation of the frozen fresh fruits in the delivery process can not be realized, and the high-quality fresh fruits can not be easily delivered, and the high-quality fresh fruits can not be easily satisfied in the delivery process. Disclosure of Invention The invention aims to make up the defects of the prior art, provides a dynamic distribution method and a system for frozen fresh fruits, realizes in-situ nondestructive detection of a microstructure of pulp cells through a Raman spectrum sensor and a microfluidic chip, synchronously collects environment multi-source data and fuses the environment multi-source data into a full-dimensional structured dataset, utilizes a cell damage quantization algorithm to output a partition-level damage index, combines the physiological characteristics and maturity level of the fruit cells, generates a differential partition temperature control strategy through a dynamic temperature control correction algorithm, performs closed loop regulation and control, realizes accurate sensing and self-adaptive temperature control on the state of the frozen fresh fruit cells, and improves the level of cold chain distribution. The invention provides a dynamic distribution method of frozen fresh fruits, which comprises the following steps: S100, in-situ detection, namely after cold chain distribution is started, carrying out non-contact and non-damage in-situ detection on frozen fresh fruits in the cold chain distribution through a Raman spectrum sensor and a microfluidic chip, collecting microstructure signals of pulp cells in real time, and completing acquisition and standardized pretreatment of key data related to ice crystal growth and cell membrane integrity, wherein a detection sampling period is synchronously matched with a whole period of the cold chain distribution; s2