CN-121980194-A - Fruit and vegetable storage fresh-keeping control management system and method based on full period detection

CN121980194ACN 121980194 ACN121980194 ACN 121980194ACN-121980194-A

Abstract

The invention discloses a fruit and vegetable storage fresh-keeping control management system and method based on full period detection, and relates to the technical field of fruit and vegetable storage management, wherein the method comprises the following steps of dividing the fruit and vegetable storage period into a fruit and vegetable storage initial period, a stable storage period and a fruit and vegetable storage later period; the method comprises the steps of setting a storage environment fluctuation detection mechanism for judging whether storage environment leakage occurs according to the environment fluctuation degree, setting a storage environment leakage risk analysis mechanism for dynamically adjusting the time interval of data detection, setting a fruit and vegetable storage and detection period adjustment mechanism for adaptively adjusting the period duration of a stable storage period and the time interval of storage environment detection, improving the timeliness and accuracy of abnormal fluctuation detection, reducing damage to the physiological state of fruits and vegetables caused by the storage environment fluctuation, achieving the purposes of adaptively shortening the time duration of the stable storage period and the time interval of storage environment detection, and solving the problem of overhigh fruit and vegetable spoilage rate in the later period caused by the selection of a fixed storage period.

Inventors

CHEN PING
HOU XINYU
Qi Wangtong
XU YANLEI
ZHANG BIYING
WANG XIYU
SHEN HAO

Assignees

吉林农业大学

Dates

Publication Date: 20260505
Application Date: 20260403

Claims (10)

1. The fruit and vegetable storage fresh-keeping control management method based on full period detection is characterized by comprising the following steps of: setting a fruit and vegetable storage stage analysis mechanism for judging the storage stage of fruits and vegetables according to the time of storing fruits and vegetables in a storage space, and dividing the storage period of fruits and vegetables into an initial storage stage, a stable storage stage and a later storage stage of fruits and vegetables; Setting a storage environment fluctuation detection mechanism for detecting storage environment parameters in a stable storage period at regular time, analyzing and acquiring abnormal fluctuation coefficients of the storage environment so as to judge the fluctuation degree of the storage environment, and judging whether leakage of the storage environment occurs or not according to the fluctuation degree of the environment; setting a storage environment leakage risk analysis mechanism for analyzing external environment changes to predict a risk growth coefficient of leakage of the storage environment, and dynamically adjusting a time interval of storage environment detection according to the risk growth coefficient; and setting a fruit and vegetable storage and detection period adjustment mechanism for analyzing the environmental fluctuation influence coefficient, and adaptively adjusting the period duration of the stable storage period and the time interval of storage environment detection by using the environmental fluctuation influence coefficient.
2. The fruit and vegetable storage fresh-keeping control management method based on full period detection according to claim 1 is characterized in that the fruit and vegetable storage stage analysis mechanism is used for dividing a storage period into a fruit and vegetable storage initial stage, a fruit and vegetable stable storage stage and a fruit and vegetable storage later stage according to fruit and vegetable storage time, setting a temperature stability threshold, a humidity stability threshold, an oxygen gas concentration stability threshold and a carbon dioxide stability concentration threshold for the fruit and vegetable stable storage stage, and setting an initial storage environment detection time interval for detecting fluctuation of a storage environment and physiological states of fruits and vegetables in the fruit and vegetable stable storage stage.
3. The method for controlling and managing the fresh-keeping of fruits and vegetables based on full period detection as set forth in claim 2, wherein the initial period of the storage of fruits and vegetables is set as The initial period of the stable storage period is set as Setting the storage later period of fruits and vegetables as After the fruits and vegetables are put in storage, firstly entering the initial stage of storing fruits and vegetables, and then keeping the time Uniformly reducing the storage environment parameters to a stable threshold value, and then entering a stable storage period of the fruits and the vegetables, wherein the time length is set as follows And after the stable storage period of the fruits and vegetables is finished, entering the later storage period of the fruits and vegetables, and uniformly lifting the parameters of the storage environment to be the same as the external environment in the later storage period of the fruits and vegetables, so as to prepare for warehouse-out.
4. The fruit and vegetable storage fresh-keeping control management method based on full period detection of claim 1, wherein the storage environment fluctuation detection mechanism is used for detecting storage environment parameters in a stable storage period at regular time, acquiring abnormal fluctuation coefficients of the storage environment according to the comparison analysis of actual detection values and threshold values of the environment parameters in the stable storage period, judging the environment fluctuation degree by analyzing the abnormal fluctuation coefficients, judging whether storage environment leakage occurs according to the environment fluctuation degree, and respectively adopting different compensation measures according to different leakage levels of the storage environment.
5. The fruit and vegetable storage fresh-keeping control management method based on full period detection according to claim 4 is characterized in that when entering a stable storage period, an initial threshold of storage environment temperature is set to be T 0 , an initial threshold of oxygen concentration is set to be u 0 , and an initial threshold of carbon dioxide concentration is set to be v 0 ; the oxygen concentration threshold is not a fixed value, and along with the increase of the storage duration, the oxygen concentration threshold is adaptively adjusted, and the adjusted oxygen concentration threshold is as follows: wherein u 01 represents an adjusted oxygen concentration threshold, For the set adjustment threshold value of the oxygen concentration, A time interval between the time of entering the stable storage period and the time of adjusting the oxygen concentration; setting abnormal fluctuation coefficient thresholds alpha and beta, comparing and analyzing the obtained abnormal fluctuation coefficient with the set thresholds, and judging the abnormal fluctuation degree of the storage environment: if W is less than or equal to alpha, the abnormal fluctuation coefficient is lower, and the storage environment is judged to have no abnormal fluctuation; If alpha is less than W and less than or equal to beta, the abnormal fluctuation coefficient is higher, and the suspected abnormal fluctuation of the storage environment is judged, the storage environment fluctuation confirmation mode is triggered, and a time length is set as And adjusting the detection time interval of the storage environment to be The method comprises the steps of recording detected n abnormal fluctuation coefficients as { Mτ1, Mτ2, & gt, Mτn } according to the acquisition time sequence, comparing all the detected abnormal fluctuation coefficients with each other and comparing and analyzing the detected abnormal fluctuation coefficients with a set threshold value, if alpha < Mτ1 less than or equal to beta and Mτ 1<M tau 2< & gt, & lt Mτn, judging that moderate leakage occurs in the storage environment, sending out moderate leakage early warning of the storage environment, prompting workers to repair leakage positions, triggering a storage environment fine adjustment mechanism, and adjusting storage environment parameters to be stable, if alpha < Mτ1 less than or equal to beta and Mτ 1>M tau 2> & gt, indicating that fluctuation of the storage environment belongs to normal environment fluctuation, not sending out early warning, and if the values of n abnormal fluctuation coefficients are all between alpha and beta, and have no monotonically increasing or monotonically decreasing trend, judging that the storage environment has slight leakage occurs, sending out intermittent slight leakage early warning of the storage environment, triggering the storage environment fine adjustment mechanism, and adjusting the storage environment parameters to be stable; If W > beta, the abnormal fluctuation coefficient is abnormally high, the severe leakage of the storage environment is judged, an audible and visual alarm is sent out to remind workers of maintenance, emergency heat preservation measures are started, the refrigerating unit is closed, and after the maintenance is completed, the refrigerating unit is restored to normal operation.
6. The fruit and vegetable storage fresh-keeping control management method based on full period detection according to claim 1, wherein the storage environment leakage risk analysis mechanism is used for analyzing day-night temperature difference, minimum temperature and duration of rain and snow of an external environment, predicting a risk growth coefficient of leakage of the storage environment by analyzing external environment changes, comparing the risk growth coefficient with a set threshold value, and dynamically adjusting a time interval of storage environment detection by using the risk growth coefficient.
7. The fruit and vegetable storage fresh-keeping control management method based on full period detection as claimed in claim 6, wherein each interval has a fixed duration Detecting a primary risk growth coefficient, and collecting the average value of the day-night temperature difference of the external environment in a fixed time length And recording the accumulated time length of the occurrence of rain and snow weather Setting a day and night temperature difference risk threshold value of the external environment And a rain and snow weather duration threshold Setting a low-temperature critical threshold Q 1 , monitoring the external environment temperature in real time, and recording the accumulated time length when the temperature is less than the low-temperature critical threshold And analyzing a risk growth coefficient of leakage of the storage environment according to the external environment parameter data, and calculating the risk growth coefficient according to the following formula: ; Wherein, the Representing a risk growth factor; the influence weight of the day-night temperature difference on the risk growth coefficient is represented; The influence weight of the low-temperature duration and the rain and snow duration on the risk growth coefficient is represented; Setting a risk growth factor threshold By comparing and analyzing the risk growth coefficient with a set threshold value, whether the detection interval duration is adjusted is judged, and the analysis result is as follows: If it is The risk growth coefficient is low, and the influence of the severe degree of the external environment on the leakage risk of the storage environment is low, so that the detection interval duration is not adjusted; If it is The risk growth coefficient is higher, the influence of the severe degree of the external environment on the leakage risk of the storage environment is higher, the time interval of the storage environment detection is adjusted, and the time interval of the storage environment detection after adjustment is as follows: Wherein, the method comprises the steps of, A time interval representing detection of a storage environment in the event of a higher risk growth factor; Indicating the time interval of storage environment detection before adjustment, and after the time interval of storage environment detection is adjusted, making the time interval after adjustment Detecting the fluctuation of the storage environment until the next risk growth coefficient analysis starts, and readjusting the detection time interval of the storage environment according to the risk growth coefficient of the new detection.
8. The method for controlling and managing the preservation of fruits and vegetables based on full period detection according to claim 1, wherein the mechanism for adjusting the period of storage and detection of fruits and vegetables is used for analyzing and recording the fluctuation degree and the fluctuation accumulation duration of the storage environment, coupling the number of times of leakage of the storage environment in the storage environment, the abnormal fluctuation coefficient in single leakage and the accumulation duration of the leakage of the storage environment to obtain the environmental fluctuation influence coefficient, and adaptively adjusting the period duration of the stable storage period and the time interval of the detection of the storage environment by using the environmental fluctuation influence coefficient.
9. The fruit and vegetable storage fresh-keeping control management method based on full period detection as claimed in claim 8, wherein the method is characterized by setting the total duration of initial stable storage period After the stable storage period is entered, the number of leakage times and the accumulated leakage duration of different types of environments in the storage environment are recorded in real time, and the number of the medium leakage times in the storage environment is recorded as The accumulated leakage time is recorded as The number of severe leakage times in the storage environment is denoted as b, and the accumulated leakage time is denoted as Analyzing the environmental fluctuation influence coefficient according to the recorded data, and calculating the environmental fluctuation influence coefficient according to the following formula: ; Wherein, the Representing an environmental fluctuation influence coefficient; Indicating the number of occurrences of a moderate leak in the storage environment, A number indicating the occurrence of a moderate leak in the storage environment, ; Represent the first B represents the number of times of occurrence of severe leakage of the storage environment, A number indicating the occurrence of severe leakage from the storage environment, ; Represent the first The average value of abnormal fluctuation coefficients of severe leakage of the secondary storage environment, m is a set fluctuation frequency threshold value, delta is a threshold value of the duty ratio of the set storage environment fluctuation accumulated duration in the past stable storage period duration; the total duration of the stable storage period is adjusted by utilizing the environmental fluctuation influence coefficient, and the adjusted duration of the stable storage period is as follows: Wherein, the method comprises the steps of, Indicating the adjusted total period duration of the stable storage period; Meanwhile, the time interval of the storage environment detection is dynamically adjusted, and the adjusted time interval of the storage environment detection is as follows: Wherein, the method comprises the steps of, Representing a time interval of the environmental detection adjusted according to the environmental fluctuation influence coefficient; indicating the set initial environment detection time interval.
10. The fruit and vegetable storage and preservation control management system based on full period detection is applied to the fruit and vegetable storage and preservation control management method based on full period detection as claimed in any one of claims 1 to 9, and is characterized in that the system comprises a fruit and vegetable storage period segmentation analysis module, a storage environment fluctuation detection module, a storage environment leakage risk analysis module and a fruit and vegetable storage and detection period adjustment module; The fruit and vegetable storage period segmentation analysis module is used for judging the storage period of fruits and vegetables according to the time of storing the fruits and vegetables in the storage space, and dividing the storage period of the fruits and vegetables into an initial storage period, a stable storage period and a later storage period of the fruits and vegetables; The storage environment fluctuation detection module is used for detecting storage environment parameters in a stable storage period at fixed time, analyzing and obtaining abnormal fluctuation coefficients of the storage environment so as to judge the fluctuation degree of the storage environment, and judging whether the storage environment leaks or not according to the fluctuation degree of the environment; The storage environment leakage risk analysis module is used for analyzing the external environment change to predict a risk growth coefficient of leakage of the storage environment, and dynamically adjusting the time interval of storage environment detection according to the risk growth coefficient; The fruit and vegetable storage and detection period adjustment module is used for analyzing the environmental fluctuation influence coefficient, and the environmental fluctuation influence coefficient is utilized to carry out adaptive adjustment on the period duration of the stable storage period and the time interval of storage environment detection.

Description

Fruit and vegetable storage fresh-keeping control management system and method based on full period detection Technical Field The invention relates to the technical field of fruit and vegetable storage management, in particular to a fruit and vegetable storage fresh-keeping control management system and method based on full period detection. Background The method is characterized in that fruits and vegetables in northern areas are high in yield and rich in variety, apples, pears, cabbages, onions, ferns and the like are important supports of local agricultural economy, overwintering storage is needed after the fruits and vegetables are harvested to prolong the supply period and improve the economic benefit, but in the northern overwintering storage process, the adaptability of the northern overwintering storage environment is poor due to the influence of weather conditions, physiological characteristics of the fruits and vegetables and defects of the prior art, a leakage-free identification and compensation mechanism is adopted, the outdoor temperature in northern winter is extremely low, the day-night temperature difference is large, the storage environment is influenced by temperature change, thermal expansion and cold contraction are easy to occur, the probability of occurrence of micro leakage of the storage body is greatly increased, the temperature and the gas in the storage are frequently fluctuated due to the fact that the outside cold air is permeated, the accumulated time length of the micro leakage is long enough to influence the fresh time of the fruits and vegetables in the storage period, the traditional storage environment fluctuation detection technology is mostly adopted to detect the environment in a fixed time interval mode, the damage of the fruits and the vegetables caused by the environment fluctuation in the storage process is not adjusted according to the external environment and the actual conditions in the storage process, the situation in the storage period is difficult to be found, the damage caused by the environment fluctuation is also not to be difficult to be caused by the dynamic fluctuation due to the dynamic fluctuation control of the dynamic fluctuation, the dynamic fluctuation is caused by the dynamic fluctuation control over the dynamic fluctuation of the storage period is not to occur to the dynamic fluctuation, the dynamic fluctuation is stable storage period is caused to the time after the dynamic fluctuation is stable in the storage period is caused to the storage period is in the storage period is stable to be in a long period is in a period is stable after the storage period is in accordance to be in the storage is in a period is stable. Disclosure of Invention The invention aims to provide a fruit and vegetable storage fresh-keeping control management system and method based on full period detection, so as to solve the problems in the prior art. In order to achieve the purpose, the invention provides the following technical scheme that the fruit and vegetable storage fresh-keeping control management method based on full period detection comprises the following steps: setting a fruit and vegetable storage stage analysis mechanism for judging the storage stage of fruits and vegetables according to the time of storing fruits and vegetables in a storage space, and dividing the storage period of fruits and vegetables into an initial storage stage, a stable storage stage and a later storage stage of fruits and vegetables; Setting a storage environment fluctuation detection mechanism for detecting storage environment parameters in a stable storage period at regular time, analyzing and acquiring abnormal fluctuation coefficients of the storage environment so as to judge the fluctuation degree of the storage environment, and judging whether leakage of the storage environment occurs or not according to the fluctuation degree of the environment; setting a storage environment leakage risk analysis mechanism for analyzing external environment changes to predict a risk growth coefficient of leakage of the storage environment, and dynamically adjusting a time interval of storage environment detection according to the risk growth coefficient; and setting a fruit and vegetable storage and detection period adjustment mechanism for analyzing the environmental fluctuation influence coefficient, and adaptively adjusting the period duration of the stable storage period and the time interval of storage environment detection by using the environmental fluctuation influence coefficient. The analysis mechanism is used for dividing the storage period into an initial fruit and vegetable storage period, a stable fruit and vegetable storage period and a later fruit and vegetable storage period according to the fruit and vegetable storage period, setting a temperature stability threshold, a humidity stability threshold, an oxygen gas concentration stability threshold and a carbon dioxide stabi