Self-adaptive oxygen supply and vibration monitoring system for fruit and vegetable fresh-keeping gasket based on Internet of Things

Abstract

The invention discloses a self-adaptive oxygen supply and vibration monitoring system for a fruit and vegetable fresh-keeping gasket based on the Internet of Things, relates to the technical field of fruit and vegetable fresh-keeping gasket monitoring, and is used for solving the problems that respiration characteristics and confrontation characteristics of fruits and vegetables in multi-source environmental parameters cannot be perceived, and the abnormal state trend perception is weak. Oxygen, carbon dioxide, temperature and humidity data in fruit and vegetable packages are collected, fruit and vegetable respiration characteristics are analyzed according to the oxygen concentration and the temperature, fruit and vegetable respiration confrontation characteristics are analyzed in combination with the carbon dioxide concentration and the humidity, vibration detection signals or alarm signals are set after the two characteristics are compared, and the overall gravity center displacement of fruits and vegetables is monitored after the vibration detection signals are detected. The average acceleration is obtained through the accelerometer, the fruit and vegetable vibration index is calculated, then the moisture content generated by fruit and vegetable respiration is detected, whether the fresh-keeping gasket is abnormal or not is judged, whether an alarm signal is set or not is determined according to the judgment result, and alarm processing is executed, so that the detection quality of the fruit and vegetable fresh-keeping gasket is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring the fresh-keeping gaskets for fruits and vegetables, and more particularly to an Internet of Things-based self-adaptive oxygen supply and vibration monitoring system for fresh-keeping gaskets for fruits and vegetables. Background Art

[0002] Fruits and vegetables maintain a certain level of respiratory metabolic activity during post-harvest storage and transportation. These factors can easily lead to quality degradation and spoilage due to temperature and humidity changes, unsuitable gas environments, mechanical vibrations and shocks, and other factors. This can seriously impact the commodity value of fruits and vegetables and the economic benefits of the supply chain. Traditional fruit and vegetable fresh-keeping packaging relies heavily on passive modified atmosphere films or static preservation materials, which are unable to actively identify and dynamically intervene in changes in the state of fruits and vegetables during storage and transportation. Especially in long-distance transportation or multi-link turnover scenarios, fruits and vegetables are easily affected by multiple stresses such as repeated vibration, oxygen imbalance and humidity accumulation. A fruit and vegetable preservation gasket is proposed for application in current operating scenarios to monitor the state changes of fruits and vegetables during storage and transportation.

[0003] The existing technology has the following deficiencies: At present, a fruit and vegetable preservation gasket simply monitors the gas concentration, temperature and humidity data inside the fruit and vegetable packaging after collection. It is unable to detect the respiration characteristics and resistance characteristics of fruits and vegetables in multi-source environmental parameters, and has a weak perception of abnormal state trends, resulting in an increased transportation loss rate. Therefore, an adaptive oxygen supply and vibration monitoring system for fruit and vegetable preservation gaskets based on the Internet of Things is proposed.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an adaptive oxygen supply and vibration monitoring system for fruit and vegetable preservation pads based on the Internet of Things, which solves the problems raised in the above-mentioned background technology by applying a fusion strategy of multi-source environmental perception technology, embedded data processing methods and dynamic anomaly recognition mechanism.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solution: an adaptive oxygen supply and vibration monitoring system for fruit and vegetable preservation pads based on the Internet of Things, comprising a data acquisition module, a pad analysis module, a vibration monitoring module, and an alarm execution module; The data acquisition module is used to collect oxygen concentration, carbon dioxide concentration, temperature data and humidity data in the fruit and vegetable packaging and transmit them to the gasket analysis module. After receiving the moisture detection signal, it detects the water vapor content generated by the respiration of fruits and vegetables and sends the test results to the alarm execution module; The gasket analysis module receives oxygen concentration and temperature data from the fruit and vegetable packaging and analyzes the respiration characteristics of the fruit and vegetables in the packaging environment. It then analyzes the respiration resistance characteristics of the fruit and vegetables in the packaging environment based on the carbon dioxide concentration and humidity data in the fruit and vegetable packaging. Based on the respiration characteristics of the fruit and vegetable, it selects the setting to transmit the vibration detection signal to the vibration monitoring module or the setting to transmit the alarm signal to the alarm execution module. After receiving the vibration detection signal, the vibration monitoring module uses the displacement sensor to monitor the overall center of gravity displacement of the fruits and vegetables in the fruit and vegetable packaging. It sets a moisture detection signal and sends it to the data acquisition module. The accelerometer obtains the average acceleration of the fruits and vegetables in the fruit and vegetable packaging. The vibration index of the fruits and vegetables is calculated based on the overall center of gravity displacement of the fruits and vegetables and transmitted to the alarm execution module. The alarm execution module receives the water vapor content detection results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables to determine whether the fruit and vegetable preservation gasket is in an abnormal state. Based on the judgment result, it chooses whether to set an alarm signal. If an alarm signal is detected, the alarm processing is executed.

[0007] In a preferred embodiment, after receiving the oxygen concentration and carbon dioxide concentration in the fruit and vegetable package, the gasket analysis module takes the logarithm of the oxygen concentration as the oxygen concentration coefficient in the fruit and vegetable package, and takes the logarithm of the carbon dioxide concentration as the carbon dioxide concentration coefficient in the fruit and vegetable package.

[0008] In a preferred embodiment, after receiving the temperature data and humidity data inside the fruit and vegetable package, the gasket analysis module calls the maximum temperature and maximum humidity inside the fruit and vegetable package in the temperature and humidity database, and uses the ratio of the temperature data inside the fruit and vegetable package to the maximum temperature as the temperature influence parameter, and uses the ratio of the humidity data inside the fruit and vegetable package to the maximum humidity as the humidity influence parameter.

[0009] In a preferred embodiment, the gasket analysis module uses the product of the oxygen concentration coefficient in the fruit and vegetable package and the temperature influencing parameter as the fruit and vegetable respiration characteristic of the packaging environment; and uses the ratio of the carbon dioxide concentration coefficient in the fruit and vegetable package to the humidity influencing parameter as the fruit and vegetable respiration resistance characteristic of the packaging environment.

[0010] In a preferred embodiment, the gasket analysis module subtracts the fruit and vegetable respiration resistance characteristics of the packaging environment from the fruit and vegetable respiration characteristics, uses the subtraction result as the preservation balance order of the fruit and vegetable preservation gasket, and compares the preservation balance order of the fruit and vegetable preservation gasket with a preset preservation abnormality threshold; When the preservation balance order of the fruit and vegetable preservation gasket in the fruit and vegetable packaging exceeds the preservation abnormality threshold, it is judged that the preservation function of the fruit and vegetable preservation gasket is normal and a vibration detection signal is set; otherwise, it is judged that the preservation function of the fruit and vegetable preservation gasket is abnormal and an alarm signal is set.

[0011] In a preferred embodiment, after receiving the vibration detection signal, the vibration monitoring module uses a displacement sensor to monitor the overall center of gravity displacement of the fruits and vegetables in the fruit and vegetable package, and obtains the average acceleration of the fruits and vegetables in the fruit and vegetable package through an accelerometer; The displacement sensor collects the coordinates of the center of gravity of the fruits and vegetables in the initial monitoring state. When the vibration detection signal is received, the coordinates of the center of gravity of the fruits and vegetables in the current state are obtained in real time. Based on the coordinate difference between the current state and the initial monitoring state, the displacement of the center of gravity of the fruits and vegetables is calculated using the Euclidean distance formula. After the overall center of gravity displacement of fruits and vegetables is obtained, a moisture detection signal is set and sent to the data acquisition module.

[0012] In a preferred embodiment, after receiving the moisture detection signal, the data acquisition module detects the water vapor content generated by the respiration of fruits and vegetables through the humidity sensor and sends the detection result to the alarm execution module; By collecting the initial humidity value inside the fruit and vegetable packaging, the system obtains the current humidity value through the humidity sensor after receiving the moisture detection signal. After calculating the difference between the current humidity value and the initial humidity value, the water vapor content generated by the respiration of the fruit and vegetables is obtained by combining the packaging volume and the saturated water vapor density at the current temperature. The water vapor content generated by the respiration of fruits and vegetables is sent to the alarm execution module as the detection result.

[0013] In a preferred embodiment, the vibration monitoring module uses an accelerometer to collect instantaneous acceleration values ​​of fruits and vegetables in three-axis directions using three-axis dynamic data, and obtains the average acceleration of fruits and vegetables in the fruit and vegetable package through average calculation; The overall center of gravity displacement of fruits and vegetables and the average acceleration of fruits and vegetables in the fruit and vegetable packaging are standardized and substituted into the logistic regression formula to calculate the vibration index of fruits and vegetables; The calculated vibration index of fruits and vegetables is transmitted to the alarm execution module.

[0014] In a preferred embodiment, the alarm execution module receives the water vapor content detection results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables, and performs standardization processing on the water vapor content detection results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables; Substitute the standardized water vapor content test results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables into the hyperbolic tangent function to obtain the abnormal state coefficient of the fruit and vegetable preservation gasket. The specific formula is expressed as follows: ; Where, is the abnormal state coefficient of the fruit and vegetable preservation gasket, This is the test result of the water vapor content produced by the respiration of fruits and vegetables after standardization. is the vibration index of fruits and vegetables after standardization. 、 They are the detection results of water vapor content produced by respiration of fruits and vegetables after standardized treatment and the corresponding influence weights of the vibration index of fruits and vegetables.

[0015] In a preferred embodiment, the alarm execution module compares the abnormal state coefficient of the fruit and vegetable preservation gasket with a preset abnormal threshold value, and selects to set an alarm signal if the abnormal state coefficient of the fruit and vegetable preservation gasket is greater than or equal to the preset abnormal threshold value; If the abnormal state coefficient of the fruit and vegetable preservation gasket is less than the preset abnormal threshold, choose not to set an alarm signal; The alarm execution module monitors the alarm signal in real time and executes the alarm processing when an alarm signal is detected; After the alarm signal set by the gasket analysis module is transmitted to the alarm execution module, the alarm processing of the same operation is performed.

[0016] The technical effects and advantages of the present invention are as follows: The present invention collects oxygen concentration, carbon dioxide concentration, temperature data and humidity data in a fruit and vegetable package, analyzes the respiration characteristics of the fruit and vegetable in the packaging environment according to the oxygen concentration and temperature data in the fruit and vegetable package, analyzes the respiration resistance characteristics of the fruit and vegetable in the packaging environment by comprehensively analyzing the carbon dioxide concentration and humidity data in the fruit and vegetable package, selects and sets a vibration detection signal or an alarm signal by comparing the respiration characteristics of the fruit and vegetable in the fruit and vegetable environment with the respiration resistance characteristics of the fruit and vegetable, monitors the overall center of gravity displacement of the fruit and vegetable in the fruit and vegetable package after the vibration detection signal is detected, obtains the average acceleration of the fruit and vegetable in the fruit and vegetable package by an accelerometer, calculates the vibration index of the fruit and vegetable in combination with the overall center of gravity displacement, detects the water vapor content generated by the respiration of the fruit and vegetable, and determines whether a fruit and vegetable fresh-keeping gasket is in an abnormal state, selects whether to set an alarm signal according to the determination result, and performs alarm processing when an alarm signal is detected, thereby greatly improving the detection quality of the fruit and vegetable fresh-keeping gasket. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a flow chart for implementing the adaptive oxygen supply and vibration monitoring system for fruit and vegetable preservation pads based on the Internet of Things of the present invention.

[0018] Figure 2 This is a module framework diagram of the Internet of Things-based adaptive oxygen supply and vibration monitoring system for fruit and vegetable preservation pads of the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] The present invention collects oxygen concentration, carbon dioxide concentration, temperature data and humidity data in a fruit and vegetable package, analyzes the respiration characteristics of the fruit and vegetable in the packaging environment according to the oxygen concentration and temperature data in the fruit and vegetable package, analyzes the respiration resistance characteristics of the fruit and vegetable in the packaging environment by comprehensively analyzing the carbon dioxide concentration and humidity data in the fruit and vegetable package, selects and sets a vibration detection signal or an alarm signal by comparing the respiration characteristics of the fruit and vegetable in the fruit and vegetable environment with the respiration resistance characteristics of the fruit and vegetable, monitors the overall center of gravity displacement of the fruit and vegetable in the fruit and vegetable package after detecting the vibration detection signal, obtains the average acceleration of the fruit and vegetable in the fruit and vegetable package by an accelerometer, calculates the vibration index of the fruit and vegetable based on the overall center of gravity displacement, detects the water vapor content generated by the respiration of the fruit and vegetable, and determines whether a fruit and vegetable fresh-keeping gasket is in an abnormal state, determines whether to set an alarm signal according to the determination result, and executes alarm processing when an alarm signal is detected, thereby greatly improving the detection quality of the fruit and vegetable fresh-keeping gasket, realizing real-time perception and early warning response to abnormal states of fruits and vegetables during storage and transportation, ensuring the quality stability of fruits and vegetables, and extending the shelf life.

[0021] Example 1, Adaptive oxygen supply and vibration monitoring system for fruit and vegetable fresh-keeping pads based on the Internet of Things, please refer to Figures 1 to 2 , including data acquisition module, gasket analysis module, vibration monitoring module and alarm execution module, and each module is connected through electrical signals; The functions of each module are as follows: The data acquisition module is used to collect oxygen concentration, carbon dioxide concentration, temperature data and humidity data in the fruit and vegetable packaging and transmit them to the gasket analysis module. After receiving the moisture detection signal, it detects the water vapor content generated by the respiration of fruits and vegetables and sends the test results to the alarm execution module; The gasket analysis module receives oxygen concentration and temperature data from the fruit and vegetable packaging and analyzes the respiration characteristics of the fruit and vegetables in the packaging environment. It then analyzes the respiration resistance characteristics of the fruit and vegetables in the packaging environment based on the carbon dioxide concentration and humidity data in the fruit and vegetable packaging. Based on the respiration characteristics of the fruit and vegetable, it selects the setting to transmit the vibration detection signal to the vibration monitoring module or the setting to transmit the alarm signal to the alarm execution module. After receiving the vibration detection signal, the vibration monitoring module uses the displacement sensor to monitor the overall center of gravity displacement of the fruits and vegetables in the fruit and vegetable packaging. It sets a moisture detection signal and sends it to the data acquisition module. The accelerometer obtains the average acceleration of the fruits and vegetables in the fruit and vegetable packaging. The vibration index of the fruits and vegetables is calculated based on the overall center of gravity displacement of the fruits and vegetables and transmitted to the alarm execution module. The alarm execution module receives the water vapor content detection results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables to determine whether the fruit and vegetable preservation gasket is in an abnormal state. Based on the judgment result, it chooses whether to set an alarm signal. If an alarm signal is detected, the alarm processing is executed.

[0022] It should be noted that a displacement sensor is a device that measures the displacement or deformation of an object, and is used to measure the displacement of the overall center of gravity of fruits and vegetables in the fruit and vegetable packaging. An accelerometer is a sensor that measures the acceleration of an object, and is used to detect the acceleration when the overall center of gravity of fruits and vegetables in the fruit and vegetable packaging shifts.

[0023] The data acquisition module uses an oxygen analyzer to detect the oxygen concentration in the fruit and vegetable packaging in real time, and uses a carbon dioxide sensor to detect the carbon dioxide concentration in the fruit and vegetable packaging in real time. After transmitting the oxygen concentration and carbon dioxide concentration detection results in the fruit and vegetable packaging to the gasket analysis module, the temperature data and humidity data in the fruit and vegetable packaging are monitored in real time through a temperature sensor and a humidity sensor respectively, and the real-time monitored temperature data and humidity data in the fruit and vegetable packaging are synchronously transmitted to the gasket analysis module.

[0024] It should be noted that the oxygen analyzer is a device that measures the oxygen concentration in the gas and is used to measure the oxygen concentration inside the fruit and vegetable packaging. The carbon dioxide sensor is a device that measures the carbon dioxide concentration in the air and is used to measure the carbon dioxide concentration inside the fruit and vegetable packaging in this example.

[0025] The gasket analysis module receives the oxygen concentration and carbon dioxide concentration in the fruit and vegetable package and first uses logarithmic normalization to remove the dimension. The logarithm of the oxygen concentration is used as the oxygen concentration coefficient in the fruit and vegetable package, and the logarithm of the carbon dioxide concentration is used as the carbon dioxide concentration coefficient in the fruit and vegetable package. The higher the oxygen concentration or the higher the temperature in the fruit and vegetable packaging, the higher the fruit and vegetable respiration efficiency, and the worse the preservation effect in the fruit and vegetable packaging. The higher the carbon dioxide concentration or the lower the humidity in the fruit and vegetable packaging, the lower the fruit and vegetable respiration efficiency, and the better the preservation effect in the fruit and vegetable packaging. The fruit and vegetable preservation gasket in the fruit and vegetable packaging can reduce the respiration of fruits and vegetables to achieve the preservation effect. The oxygen concentration, carbon dioxide concentration, temperature and humidity in the fruit and vegetable packaging can be used to judge whether the preservation function of the fruit and vegetable preservation gasket is abnormal.

[0026] After receiving the real-time monitoring results of the temperature data and humidity data inside the fruit and vegetable package, the gasket analysis module calls the maximum temperature and maximum humidity inside the fruit and vegetable package in the temperature and humidity database, and uses the ratio of the temperature data inside the fruit and vegetable package to the maximum temperature as the temperature influence parameter, and the ratio of the humidity data inside the fruit and vegetable package to the maximum humidity as the humidity influence parameter.

[0027] It should be noted that the temperature and humidity database is a database that stores, manages, and analyzes the temperature and humidity at various time points within a fruit and vegetable package. In this example, it is used to retrieve the maximum temperature and humidity within the fruit and vegetable package, respectively.

[0028] The gasket analysis module uses the product of the oxygen concentration coefficient in the fruit and vegetable packaging and the temperature influencing parameter as the fruit and vegetable respiration characteristic of the packaging environment; and uses the ratio of the carbon dioxide concentration coefficient in the fruit and vegetable packaging to the humidity influencing parameter as the fruit and vegetable respiration resistance characteristic of the packaging environment.

[0029] The greater the oxygen concentration coefficient of the packaging environment or the greater the temperature influence parameter, the greater the fruit and vegetable respiration characteristics of the packaging environment, the higher the fruit and vegetable respiration efficiency, the worse the preservation effect in the fruit and vegetable packaging, and the worse the preservation effect of the fruit and vegetable fresh-keeping gasket; the greater the carbon dioxide concentration coefficient of the packaging environment or the smaller the humidity influence parameter, the greater the fruit and vegetable respiration antagonism characteristics of the packaging environment, the lower the fruit and vegetable respiration efficiency, the better the preservation effect in the fruit and vegetable packaging, and the better the preservation effect of the fruit and vegetable fresh-keeping gasket.

[0030] The gasket analysis module subtracts the fruit and vegetable respiratory resistance characteristics of the packaging environment from the fruit and vegetable respiratory characteristics, uses the subtraction result as the preservation equilibrium order of the fruit and vegetable preservation gasket, compares the preservation equilibrium order of the fruit and vegetable preservation gasket with the preset preservation abnormality threshold, and selects to set a vibration detection signal or an alarm signal based on the comparison result. The specific judgment logic is as follows: When the preservation balance order of the fruit and vegetable preservation gasket in the fruit and vegetable packaging exceeds the preservation abnormality threshold, it is judged that the preservation function of the fruit and vegetable preservation gasket is normal and a vibration detection signal is set; otherwise, it is judged that the preservation function of the fruit and vegetable preservation gasket is abnormal and an alarm signal is set.

[0031] If the gasket analysis module sets a vibration detection signal, it will be transmitted to the vibration monitoring module; if the gasket analysis module sets an alarm signal, it will be transmitted to the alarm execution module.

[0032] In the vibration monitoring module, after receiving the vibration detection signal, the displacement sensor is used to monitor the overall center of gravity displacement of the fruits and vegetables in the fruit and vegetable packaging.

[0033] Specifically, the overall center of gravity displacement of fruits and vegetables in the fruit and vegetable package is the change value of the center of gravity and mass coordinates in the three-dimensional space caused by vibration or physical disturbance during transportation of the fruits and vegetables in the package. The acquisition logic is to collect the overall center of gravity coordinates of the fruits and vegetables in the initial monitoring state through a displacement sensor. When the vibration detection signal is received, the overall center of gravity coordinates of the fruits and vegetables in the current state are obtained in real time. According to the coordinate difference between the current state and the initial monitoring state, the overall center of gravity displacement of the fruits and vegetables is calculated using the Euclidean distance formula.

[0034] Among them, the displacement sensor is deployed under the fruit and vegetable preservation gasket to obtain the mass distribution and dynamic position changes of the fruit and vegetable collection in the package in three-dimensional space. The initial monitoring state is the spatial mass distribution of fruits and vegetables in a stable and static state selected by the experimenters during the transportation of fruits and vegetables. At this time, the overall center of gravity coordinates in the initial monitoring state are obtained through the displacement sensor. The current state is after the system receives the vibration detection signal, and the overall center of gravity coordinates in the current state are obtained through the same displacement sensor. According to the coordinate difference between the current state and the initial monitoring state, the Euclidean distance formula is calculated as follows: ; Where, is the overall center of gravity displacement of fruits and vegetables, 、 、 is the overall center of gravity coordinate in the current state, 、 、 is the overall center of gravity coordinate in the initial monitoring state.

[0035] It should be noted that the greater the displacement of the overall center of gravity of fruits and vegetables, the stronger the physical disturbance to which the fruits and vegetables are subjected during packaging, transportation or handling, the wider the displacement range, the higher the instability of the fruits and vegetables in the packaging, the greater the risk of mutual collision, compression or damage, and the greater the vibration index of the fruits and vegetables.

[0036] After the overall center of gravity displacement of fruits and vegetables is obtained, a moisture detection signal is set and sent to the data acquisition module.

[0037] After receiving the moisture detection signal, the data acquisition module detects the water vapor content generated by the respiration of fruits and vegetables through the humidity sensor and sends the detection results to the alarm execution module.

[0038] The water vapor content generated by fruit and vegetable respiration is the relative humidity increase caused by the conversion of internal moisture into water vapor and the release of it into the packaging environment due to respiratory metabolism. The greater the water vapor content generated by fruit and vegetable respiration, the higher the metabolic intensity of the fruit and vegetable. The greater the abnormal state coefficient of the fruit and vegetable preservation gasket, the more necessary it is to set an alarm signal. The acquisition logic is to collect the initial humidity value in the fruit and vegetable packaging. After the system receives the moisture detection signal, the current humidity value is obtained through the humidity sensor. After calculating the difference between the current humidity value and the initial humidity value, the water vapor content generated by fruit and vegetable respiration is obtained by combining the packaging volume and the saturated water vapor density at the current temperature.

[0039] Among them, the humidity sensor is a miniature capacitive or resistive humidity detection device used to monitor changes in water vapor concentration in the fruit and vegetable packaging environment. The sensor can convert the capacitance, resistance or frequency changes caused by the adsorption of water molecules on the surface of the sensing film into corresponding humidity electrical signal output.

[0040] It should be noted that after calculating the difference between the current humidity value and the initial humidity value, the calculation formula combining the packaging volume and the saturated water vapor density at the current temperature is expressed as follows: ; Where, is the water vapor content produced by the respiration of fruits and vegetables, The difference between the current humidity value and the initial humidity value is calculated. is the effective volume of gas inside the package, i.e. the packaging volume, is the saturated water vapor density at temperature T.

[0041] The water vapor content generated by the respiration of fruits and vegetables is sent to the alarm execution module as the detection result.

[0042] The average acceleration of fruits and vegetables in the fruit and vegetable package is the average value of the velocity change rate of the fruits and vegetables caused by external disturbances or transportation vibrations under the preset sampling times. The greater the average acceleration of the fruits and vegetables in the fruit and vegetable package, the higher the vibration impact intensity of the fruits and vegetables, the more severe the overall disturbance, and the greater the vibration index of the fruits and vegetables. The accelerometer is used to collect the instantaneous acceleration values ​​of fruits and vegetables in the three-axis directions using three-axis dynamic data, and the average acceleration of the fruits and vegetables in the fruit and vegetable package is obtained through averaging calculation.

[0043] It should be noted that the preset sampling times were obtained by the experimenters through multiple sets of fruit and vegetable packaging and transportation simulation experiments, after comparing and analyzing the movement trajectories and acceleration response trends of fruits and vegetables under different vibration frequencies and intensities, and combining the system response time and sensor refresh rate.

[0044] Among them, the accelerometer is, in the three-axis dynamic data acquisition, the three axes refer to the three spatial dimensions detected by the accelerometer, and the average calculation formula is expressed as follows: ; Where, is the average acceleration of fruits and vegetables in the fruit and vegetable packaging, 、 、 is the acceleration value in the X, Y, and Z axes at the i-th sampling time, is the total number of sampling times of acceleration data, is the index, representing the i-th sampling.

[0045] The overall center of gravity displacement of fruits and vegetables and the average acceleration of fruits and vegetables in the fruit and vegetable packaging are standardized so that they are kept in the same dimension.

[0046] It should be noted that the standardization processing methods include but are not limited to standard linear transformation based on interval scaling, Z-Score standardization method based on statistics, or normalization method based on nonlinear mapping function. The application methods of standardization processing are not described in detail here.

[0047] The normalized displacement of the center of gravity of the fruits and vegetables and the average acceleration of the fruits and vegetables in the packaging are substituted into the logistic regression formula to calculate the vibration index of the fruits and vegetables. The specific formula is as follows: ; Where L is the result of logistic regression, i.e., the vibration index of fruits and vegetables, e is the natural base, and y is the linear combination term of the logistic regression model. The specific setting of y is: ; Where, is the bias term, is the overall center of gravity displacement of fruits and vegetables after standardization, is the average acceleration of fruits and vegetables in the standardized fruit and vegetable packaging, as well as are the regression coefficients of the overall center of gravity displacement of fruits and vegetables after standardized processing and the average acceleration of fruits and vegetables in the fruit and vegetable packaging.

[0048] It should be noted that, when the vibration index of fruits and vegetables is greater, it means that the mechanical vibration intensity to which the fruits and vegetables are subjected during packaging, transportation or storage is higher, and the abnormal state coefficient of the fruit and vegetable preservation gasket is greater.

[0049] The calculated vibration index of fruits and vegetables is transmitted to the alarm execution module.

[0050] In the alarm execution module, the water vapor content detection results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables are received, and the water vapor content detection results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables are standardized.

[0051] Substitute the standardized water vapor content test results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables into the hyperbolic tangent function to obtain the abnormal state coefficient of the fruit and vegetable preservation gasket. The specific formula is expressed as follows: ; Where, is the abnormal state coefficient of the fruit and vegetable preservation gasket, This is the test result of the water vapor content produced by the respiration of fruits and vegetables after standardization. is the vibration index of fruits and vegetables after standardization. 、 They are the test results of water vapor content produced by the respiration of fruits and vegetables after standardization and the influence weights corresponding to the vibration index of fruits and vegetables. Because the function itself has nonlinear compression characteristics, it can enhance the sensitivity of discrimination at the critical point. accomplish Standardized processing.

[0052] The abnormal state coefficient of the fruit and vegetable preservation gasket is compared with the preset abnormal threshold. If the abnormal state coefficient of the fruit and vegetable preservation gasket is greater than or equal to the preset abnormal threshold, an alarm signal is set.

[0053] If the abnormal state coefficient of the fruit and vegetable preservation gasket is less than the preset abnormal threshold, choose not to set the alarm signal.

[0054] It should be noted that the preset abnormal threshold was set by the experimenters based on the analysis results of historical fruit and vegetable transportation data and the joint fitting results of multiple sets of sensor response test data, and will not be elaborated here.

[0055] Furthermore, the alarm execution module monitors the alarm signal in real time, and executes alarm processing when an alarm signal is detected.

[0056] Furthermore, after the alarm signal set by the gasket analysis module is transmitted to the alarm execution module, the alarm processing of the same operation is performed.

[0057] Specifically, alarm processing includes sending wireless abnormality notifications to the host terminal, triggering local indicator lights / buzzers to prompt packaging abnormalities, and performing local fruit and vegetable preservation gasket control intervention, etc., which will not be elaborated here.

[0058] Finally, it should be noted that in this article, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0059] Furthermore, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "includes a..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0060] In this document, the singular forms "a," "an," and "the" may also include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the terms "include," "comprising," "having," etc. specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof. Furthermore, the term "and / or" used in this specification includes any and all combinations of the relevant listed items.

[0061] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referenced to each other.

[0062] The above description of the disclosed embodiments will enable professionals in the field to implement or use the present application. It will be obvious to professionals in the field that various modifications to these embodiments can be implemented in other embodiments without departing from the spirit or scope of the present application.

[0063] Therefore, the present application will not be limited to the embodiments shown herein but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. The IoT-based adaptive oxygen supply and vibration monitoring system for fruit and vegetable fresh-keeping pads is characterized by: It includes data acquisition module, gasket analysis module, vibration monitoring module and alarm execution module; The data acquisition module is used to collect oxygen concentration, carbon dioxide concentration, temperature data and humidity data in the fruit and vegetable packaging and transmit them to the gasket analysis module. After receiving the moisture detection signal, it detects the water vapor content generated by the respiration of fruits and vegetables and sends the test results to the alarm execution module; The gasket analysis module receives oxygen concentration and temperature data from the fruit and vegetable packaging and analyzes the respiration characteristics of the fruit and vegetables in the packaging environment. It then analyzes the respiration resistance characteristics of the fruit and vegetables in the packaging environment based on the carbon dioxide concentration and humidity data in the fruit and vegetable packaging. Based on the respiration characteristics of the fruit and vegetable, it selects the setting to transmit the vibration detection signal to the vibration monitoring module or the setting to transmit the alarm signal to the alarm execution module. After receiving the vibration detection signal, the vibration monitoring module uses the displacement sensor to monitor the overall center of gravity displacement of the fruits and vegetables in the fruit and vegetable packaging. It sets a moisture detection signal and sends it to the data acquisition module. The accelerometer obtains the average acceleration of the fruits and vegetables in the fruit and vegetable packaging. The vibration index of the fruits and vegetables is calculated based on the overall center of gravity displacement of the fruits and vegetables and transmitted to the alarm execution module. The alarm execution module receives the water vapor content detection results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables to determine whether the fruit and vegetable preservation gasket is in an abnormal state. Based on the judgment result, it chooses whether to set an alarm signal. If an alarm signal is detected, the alarm processing is executed.

2. The Internet of Things-based adaptive oxygen supply and vibration monitoring system for fruit and vegetable fresh-keeping pads according to claim 1 is characterized by: After receiving the oxygen concentration and carbon dioxide concentration in the fruit and vegetable package, the gasket analysis module takes the logarithm of the oxygen concentration as the oxygen concentration coefficient in the fruit and vegetable package, and takes the logarithm of the carbon dioxide concentration as the carbon dioxide concentration coefficient in the fruit and vegetable package.

3. The Internet of Things-based adaptive oxygen supply and vibration monitoring system for fruit and vegetable fresh-keeping pads according to claim 1 is characterized by: After receiving the temperature data and humidity data inside the fruit and vegetable package, the gasket analysis module calls the maximum temperature and maximum humidity inside the fruit and vegetable package in the temperature and humidity database, and uses the ratio of the temperature data inside the fruit and vegetable package to the maximum temperature as the temperature influence parameter, and the ratio of the humidity data inside the fruit and vegetable package to the maximum humidity as the humidity influence parameter.

4. The Internet of Things-based adaptive oxygen supply and vibration monitoring system for fruit and vegetable fresh-keeping pads according to claim 3 is characterized by: The gasket analysis module uses the product of the oxygen concentration coefficient in the fruit and vegetable packaging and the temperature influencing parameter as the fruit and vegetable respiration characteristic of the packaging environment; and uses the ratio of the carbon dioxide concentration coefficient in the fruit and vegetable packaging to the humidity influencing parameter as the fruit and vegetable respiration resistance characteristic of the packaging environment.

5. The Internet of Things-based adaptive oxygen supply and vibration monitoring system for fruit and vegetable fresh-keeping pads according to claim 4 is characterized by: The gasket analysis module subtracts the fruit and vegetable respiratory resistance characteristics of the packaging environment from the fruit and vegetable respiratory characteristics, uses the subtraction result as the preservation equilibrium order of the fruit and vegetable preservation gasket, and compares the preservation equilibrium order of the fruit and vegetable preservation gasket with the preset preservation abnormality threshold; When the preservation balance order of the fruit and vegetable preservation gasket in the fruit and vegetable packaging exceeds the preservation abnormality threshold, it is judged that the preservation function of the fruit and vegetable preservation gasket is normal and a vibration detection signal is set; otherwise, it is judged that the preservation function of the fruit and vegetable preservation gasket is abnormal and an alarm signal is set.

6. The Internet of Things-based adaptive oxygen supply and vibration monitoring system for fruit and vegetable fresh-keeping pads according to claim 5 is characterized by: After receiving the vibration detection signal, the vibration monitoring module uses the displacement sensor to monitor the overall center of gravity displacement of the fruits and vegetables in the fruit and vegetable package, and obtains the average acceleration of the fruits and vegetables in the fruit and vegetable package through the accelerometer; The displacement sensor collects the coordinates of the center of gravity of the fruits and vegetables in the initial monitoring state. When the vibration detection signal is received, the coordinates of the center of gravity of the fruits and vegetables in the current state are obtained in real time. Based on the coordinate difference between the current state and the initial monitoring state, the displacement of the center of gravity of the fruits and vegetables is calculated using the Euclidean distance formula. After the overall center of gravity displacement of the fruits and vegetables is obtained, a moisture detection signal is set and sent to the data acquisition module.

7. The Internet of Things-based adaptive oxygen supply and vibration monitoring system for fruit and vegetable preservation pads according to claim 1 is characterized by: After receiving the moisture detection signal, the data acquisition module detects the water vapor content generated by the respiration of fruits and vegetables through the humidity sensor and sends the detection results to the alarm execution module; By collecting the initial humidity value inside the fruit and vegetable packaging, the system receives the moisture detection signal and obtains the current humidity value through the humidity sensor. After calculating the difference between the current humidity value and the initial humidity value, the water vapor content generated by the respiration of the fruit and vegetables is obtained by combining the packaging volume and the saturated water vapor density at the current temperature. The water vapor content generated by the respiration of fruits and vegetables is sent to the alarm execution module as the detection result.

8. The Internet of Things-based adaptive oxygen supply and vibration monitoring system for fruit and vegetable fresh-keeping pads according to claim 6 is characterized by: The vibration monitoring module uses an accelerometer to collect the instantaneous acceleration values ​​of fruits and vegetables in the three-axis directions using three-axis dynamic data, and obtains the average acceleration of fruits and vegetables in the fruit and vegetable packaging through averaging calculation; The overall center of gravity displacement of fruits and vegetables and the average acceleration of fruits and vegetables in the fruit and vegetable packaging are standardized and substituted into the logistic regression formula to calculate the vibration index of fruits and vegetables; The calculated vibration index of fruits and vegetables is transmitted to the alarm execution module.

9. The Internet of Things-based adaptive oxygen supply and vibration monitoring system for fruit and vegetable fresh-keeping pads according to claim 8, characterized in that: The alarm execution module receives the water vapor content detection results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables, and performs standardization processing on the water vapor content detection results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables; Substitute the standardized water vapor content test results generated by the respiration of fruits and vegetables and the vibration index of fruits and vegetables into the hyperbolic tangent function to obtain the abnormal state coefficient of the fruit and vegetable preservation gasket. The specific formula is expressed as follows: ； Where, is the abnormal state coefficient of the fruit and vegetable preservation gasket, This is the test result of water vapor content produced by the respiration of fruits and vegetables after standardization. is the vibration index of fruits and vegetables after standardization. 、 They are the detection results of water vapor content produced by respiration of fruits and vegetables after standardized treatment and the corresponding influence weights of the vibration index of fruits and vegetables.

10. The Internet of Things-based adaptive oxygen supply and vibration monitoring system for fruit and vegetable fresh-keeping pads according to claim 9, characterized in that: The alarm execution module compares the abnormal state coefficient of the fruit and vegetable preservation gasket with the preset abnormal threshold value, and selects to set an alarm signal if the abnormal state coefficient of the fruit and vegetable preservation gasket is greater than or equal to the preset abnormal threshold value; If the abnormal state coefficient of the fruit and vegetable preservation gasket is less than the preset abnormal threshold, choose not to set an alarm signal; The alarm execution module monitors the alarm signal in real time and executes the alarm processing when an alarm signal is detected; After the alarm signal set by the gasket analysis module is transmitted to the alarm execution module, the alarm processing of the same operation is performed.

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