Egg preservation intelligent regulation and control method and system based on environmental perception and storage medium

Abstract

The invention relates to the field of control, and particularly provides an intelligent regulation and control method and system for egg preservation based on environmental perception and a storage medium, and the method comprises the steps: collecting temperature, humidity, carbon dioxide concentration and illumination intensity data of an egg preservation environment in real time; determining time-varying reference weights of the temperature, the humidity and the carbon dioxide concentration according to the fresh-keeping duration, and performing weighted summation and correction in combination with an illumination intensity accumulated integral value to obtain a comprehensive deterioration index of the current period; calculating a deterioration fluctuation gradient of the index in a preset time window and an accumulated deterioration index from the beginning of fresh keeping; constructing a three-dimensional regulation and control decision space taking the three indexes as dimensions, and mapping the indexes to generate a fresh-keeping environment regulation and control instruction set; and detecting whether the temperature and the humidity are subjected to synchronous step change or not, if so, superposing the step penalty increment to an accumulated metamorphic index, pausing the original instruction set within a preset duration, and executing the strong intervention regulation and control instruction.

Description

Technical Field

[0001] This application belongs to the field of control, and in particular relates to an intelligent control method, system and storage medium for egg preservation based on environmental perception. Background Technology

[0002] Egg preservation technology slows down spoilage by controlling the environment. Current preservation technologies use temperature and humidity as core control variables, employing refrigeration and humidification equipment to inhibit microbial growth and reduce moisture loss. Some more advanced modified atmosphere packaging (MAP) technologies also adjust the concentration of gases in the environment. However, these control systems only respond to instantaneous values ​​of environmental parameters and cannot assess environmental stability or long-term cumulative effects. For abrupt changes in environmental parameters caused by opening / closing doors or starting / stopping equipment, delayed or improperly adjusted control methods can lead to instantaneous condensation on the eggshell, causing irreversible damage to egg quality. Therefore, existing control logic is ill-suited to handling changes in the preservation environment and cannot achieve intelligent control of the preservation process. There is an urgent need for a new egg preservation method that can sense environmental conditions, assess spoilage risks, and make multi-dimensional intelligent decisions to achieve long shelf life and high preservation quality. Summary of the Invention

[0003] This invention proposes an intelligent control method for egg preservation based on environmental perception, which addresses the problem that existing control systems are unable to cope with changes in the preservation environment and cannot achieve intelligent control of the preservation process. The method includes:

[0004] Real-time data on temperature, humidity, carbon dioxide concentration, and light intensity within the preservation environment of the eggs are collected; based on the duration from the start of preservation to the current time, time-varying baseline weights for the temperature, humidity, and carbon dioxide concentration data are determined; the temperature, humidity, and carbon dioxide concentration data are weighted and summed based on the time-varying baseline weights; and corrected according to the cumulative integral value of light intensity to obtain the comprehensive deterioration index for the current period.

[0005] Calculate the time gradient of the comprehensive deterioration index within a preset time window to obtain the deterioration fluctuation gradient; calculate the cumulative integral of the comprehensive deterioration index from the start time of preservation to the current time to obtain the cumulative deterioration index;

[0006] A three-dimensional control decision space is constructed with the comprehensive deterioration index, the deterioration fluctuation gradient, and the cumulative deterioration index as dimensions, and the three indicators currently calculated are mapped to the space to obtain a set of control instructions for controlling the preservation environment;

[0007] The system detects whether there are synchronous step changes in the temperature and humidity data. When a synchronous step change is detected, a preset step penalty increment is added to the cumulative deterioration index. For a preset duration thereafter, the execution of the control instruction set obtained based on the three-dimensional control decision space is suspended, and a preset strong intervention control instruction is executed instead.

[0008] Furthermore, this invention also relates to an intelligent control system for egg preservation based on environmental perception, comprising the following modules:

[0009] The correction module is used to collect real-time data on temperature, humidity, carbon dioxide concentration, and light intensity in the preservation environment of the eggs; based on the duration from the start of preservation to the current time, it determines the time-varying baseline weights of the temperature, humidity, and carbon dioxide concentration data; based on the time-varying baseline weights, it performs a weighted summation of the temperature, humidity, and carbon dioxide concentration data; and corrects the data based on the cumulative integral value of light intensity to obtain the comprehensive deterioration index for the current period.

[0010] The calculation module is used to calculate the time gradient of the comprehensive deterioration index within a preset time window to obtain the deterioration fluctuation gradient; and to calculate the cumulative integral of the comprehensive deterioration index from the start time of preservation to the current time to obtain the cumulative deterioration index.

[0011] The mapping module is used to construct a three-dimensional control decision space with the comprehensive deterioration index, the deterioration fluctuation gradient and the cumulative deterioration index as dimensions, and to map the three indicators currently calculated to the space to obtain a set of control instructions for controlling the preservation environment.

[0012] The execution module is used to detect whether there is a synchronous step change in the temperature and humidity data, and when a synchronous step change is detected, it adds a preset step penalty increment to the cumulative deterioration index, and within a preset time period thereafter, it suspends the execution of the control instruction set obtained based on the three-dimensional control decision space, and instead executes a preset strong intervention control instruction.

[0013] This invention constructs a comprehensive spoilage index that integrates the effects of temperature, humidity, carbon dioxide, and light, and utilizes time-varying weights to reflect the true spoilage risk of eggs. By incorporating the spoilage fluctuation gradient, reflecting environmental stability, and the cumulative spoilage index, recording historical impacts, into the decision-making process, a three-dimensional decision model is obtained that integrates the current state, changing trends, and historical cumulative effects. Furthermore, a specialized step change identification and strong intervention mechanism is planned for sudden situations, enabling rapid response and prevention of damage to egg quality caused by drastic environmental changes. Therefore, it allows for in-depth control over the preservation environment, thereby slowing down egg quality decline and extending shelf life. Attached Figure Description

[0014] Figure 1A flowchart of the first embodiment;

[0015] Figure 2 A schematic diagram of the sensor module layout;

[0016] Figure 3 This is a schematic diagram illustrating the composition of the comprehensive metamorphism index;

[0017] Figure 4 This is a schematic diagram illustrating the growth of the cumulative deterioration index. Detailed Implementation

[0018] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0019] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0020] Figure 1 The flowchart of the first embodiment of the present invention is as follows: Figure 1 As shown, it includes:

[0021] S1. Real-time data on temperature, humidity, carbon dioxide concentration, and light intensity in the preservation environment of the eggs are collected; based on the duration from the start of preservation to the current time, the time-varying baseline weights of the temperature, humidity, and carbon dioxide concentration data are determined; the temperature, humidity, and carbon dioxide concentration data are weighted and summed based on the time-varying baseline weights; and the data are corrected based on the cumulative integral value of light intensity to obtain the comprehensive deterioration index for the current period.

[0022] Integrated sensor modules, incorporating high-precision digital temperature and humidity sensors, non-dispersive infrared carbon dioxide sensors, and light intensity sensors with photoresistors or photodiodes, are installed at different locations on the inner wall of the cold storage room, such as the upper, middle, and lower layers. Figure 2 All modules are connected to a central microcontroller, which polls all sensors at a frequency of, for example, once per minute, to read the temperature, humidity, carbon dioxide concentration, and light intensity values ​​at each point, and calculates the average value of each parameter in the entire warehouse as the environmental data for the current period.

[0023] Record the start time of the preservation task. At any given time, normalize the collected temperature T, humidity H, and carbon dioxide concentration C to a range of 0 to 1. Based on the cumulative number of days D since the start of preservation, calculate the weight of each parameter using a preset function; for example, the weight of temperature. The weight of humidity decreases linearly with time. Maintaining relative stability, the weight of carbon dioxide It increases linearly with time and always satisfies Calculate the weighted sum. Simultaneously, the measured values ​​of light intensity L are continuously accumulated to obtain the cumulative light intensity integral I. The comprehensive degradation index Z for the current period is obtained using the formula Z = S + correction coefficient k × I, where the correction coefficient k is an empirical constant.

[0024] In an optional embodiment, the step of determining the time-varying baseline weights of the temperature, humidity, and carbon dioxide concentration data based on the duration from the start time of preservation to the current time, performing a weighted summation of the temperature, humidity, and carbon dioxide concentration data based on the time-varying baseline weights, and correcting it according to the cumulative integral value of light intensity to obtain the comprehensive deterioration index for the current period includes:

[0025] The collected temperature value T, humidity value H, and carbon dioxide concentration value C are mapped to the dimensionless interval [0, 100] using a preset normalization function N(x) to obtain normalized values. , and ;

[0026] Set time-varying weights based on the preservation time t. , , :

[0027] When t≤7 ;

[0028] When 7 < t ≤ 21 ;

[0029] When t > 21 ;

[0030] Calculate the cumulative integral value L(t) of light intensity from the start of preservation to the current time, and the comprehensive deterioration index for the current period. The calculation formula is:

[0031]

[0032] in, This is the dimensionless illumination correction term calculated based on the cumulative integral value L(t).

[0033] Assume the sensor collects data on the 10th day of preservation: temperature 6°C, relative humidity 80%, and carbon dioxide concentration 1200 ppm. A preset normalization function converts these physical quantities into values ​​between 0 and 100. For example, if the temperature range is 0 to 20°C, the normalized value would be... The value is calculated to be 30 via linear mapping. Similarly, if the humidity range is 50% to 100% relative humidity, then... The value is 60; if the carbon dioxide concentration ranges from 400 to 5000 ppm, then... It is approximately 17.4.

[0034] Since we are currently on day 10, which falls within the 7-21 day range, we select the appropriate weight: temperature weight. Humidity weight Carbon dioxide concentration weight Simultaneously, the cumulative effect of light is calculated. Assuming the cumulative light integral value L(10) over the past 10 days is 8000 lux hours, a light correction function is used. In one embodiment, the light correction function is a piecewise function. When the cumulative light exposure is less than 5000 lux hours, the value is 0; when the cumulative light exposure is between 5000 and 50000 lux hours, the penalty value increases linearly from 0, with a maximum value of 15; when the cumulative light exposure exceeds 50000 lux hours, the penalty value is fixed at 15. For example, a linear function yields the light correction term. Combine all components to calculate the composite deterioration index for the current period. This reflects the overall spoilage status of the eggs, such as... Figure 3 .

[0035] S2, calculate the time gradient of the comprehensive deterioration index within a preset time window to obtain the deterioration fluctuation gradient; calculate the cumulative integral of the comprehensive deterioration index from the start time of preservation to the current time to obtain the cumulative deterioration index;

[0036] The cache stores all composite metamorphic index Z values ​​calculated within the last 60 minutes, for example. The metamorphic fluctuation gradient G is calculated by using the latest composite metamorphic index. Compared with the composite deterioration index 60 minutes ago The difference is then divided by the length of the time window, which is 60 minutes. The gradient G reflects the rate of recent overall environmental deterioration or improvement.

[0037] A cumulative spoilage index A is maintained in memory, initially set to zero. In each data collection cycle, e.g., every minute, the newly calculated overall spoilage index Z is multiplied by the sampling time interval (1 minute) to obtain the spoilage increment for that cycle. This increment is then added to variable A. This cumulative spoilage index A represents the overall environmental stress experienced by the eggs since they entered the storage facility.

[0038] In an optional embodiment, calculating the time gradient of the comprehensive metamorphic index within a preset time window to obtain the metamorphic fluctuation gradient includes:

[0039] Obtain n comprehensive deterioration index sample points within a preset time window. Where i = 1, 2, ..., n, time In minutes;

[0040] A univariate linear regression analysis was performed on the sample points to establish a regression equation. The metamorphic fluctuation gradient That is, the slope 'a' of the equation.

[0041] A preset time window is set to the past 30 minutes. The comprehensive deterioration index is continuously calculated, and historical data from the most recent 30 minutes is stored. For example, if the comprehensive deterioration index is recorded every 5 minutes, 6 data points will be obtained within the past 30 minutes. Assume that the time and index values ​​of these 6 data points are as follows: 0 minutes: index 34.96; 5 minutes: index 35.10; 10 minutes: index 35.25; 15 minutes: index 35.38; 20 minutes: index 35.52; 25 minutes: index 35.65. These data points constitute the sample set used for analysis.

[0042] This group contains 6 sample points The data is input into a univariate linear regression model. A straight line is found. The data points are fitted to minimize the sum of squared distances from all data points to the line. The slope *a* and intercept *b* of this line can then be calculated using standard least squares. In this example, the calculated slope *a* is approximately 0.027. The slope *a* is defined as the metamorphic fluctuation gradient. A positive value indicates that deterioration is accelerating, and the magnitude of the value indicates the degree of acceleration.

[0043] In an optional embodiment, calculating the cumulative deterioration index by integrating the comprehensive deterioration index from the start time of preservation to the current time includes:

[0044] Set the data collection time interval to The cumulative degradation index is calculated using the discrete accumulation method. The calculation formula at time k is:

[0045]

[0046] in, This is the initial value at the start of the preservation process.

[0047] Specifically, the moment the eggs are placed in the preservation environment, i.e., the start time of preservation. The initial value of the cumulative deterioration index. Set to 0. This initial value represents eggs that are completely fresh before entering the controlled environment, without any accumulation of spoilage. At a fixed time interval... To collect data and update indices, for example, once per hour. Hours. At each point in time. Calculate the comprehensive metamorphism index at that moment. By multiplying the current composite metamorphism index by the time interval... Then, compared with the cumulative deterioration index of the previous moment. Add them together and update the cumulative value. For example, in the 48th hour, the cumulative index of the previous hour... The current calculated composite index is 1650.5. If the value is 35.1, then the new cumulative index is... ,like Figure 4 The process is repeated continuously, making It can reflect the total spoilage stress that an egg has experienced from the start of its preservation process to the present moment.

[0048] S3, construct a three-dimensional control decision space with the comprehensive deterioration index, the deterioration fluctuation gradient and the cumulative deterioration index as dimensions, and map the three indicators calculated above to the space to obtain a control instruction set for controlling the preservation environment;

[0049] This three-dimensional control decision space is pre-divided into several decision regions using an expert system or machine learning. For example, when the comprehensive deterioration index Z is in a high-level region, the deterioration fluctuation gradient G is positive and large, and the cumulative deterioration index A is also in a high-level region, the current index point is mapped to a high-risk region. A pre-defined rule base is queried to obtain a powerful control instruction set, such as setting the refrigeration compressor power to 100%, simultaneously turning on the ventilation system and injecting a high concentration of carbon dioxide. Conversely, if Z, G, and A are all in low-level regions, the system is mapped to a stable and safe region, obtaining an energy-saving maintenance instruction set, such as reducing the compressor operating frequency and only performing intermittent ventilation.

[0050] In an optional embodiment, the construction of a three-dimensional control decision space with the comprehensive deterioration index, the deterioration fluctuation gradient, and the cumulative deterioration index as dimensions, and mapping the currently calculated three indicators to the space to obtain a control instruction set for controlling the preservation environment, includes:

[0051] When the comprehensive deterioration index And the gradient of metamorphic fluctuations And the cumulative deterioration index At that time, the system is mapped to the "stable deterioration zone" and a cooling command is executed: the refrigeration compressor is started, and the ambient temperature is lowered by 1°C;

[0052] When the comprehensive deterioration index And the gradient of metamorphic fluctuations And the cumulative deterioration index When the map is mapped to the "rapid fluctuation zone", a strong ventilation command is executed: the ventilation fan is started and runs continuously for 10 minutes to rapidly reduce the carbon dioxide concentration and humidity;

[0053] When the cumulative deterioration index When the time comes, the system maps to the "near-expiration zone" and executes the near-expiration alarm command: forcibly setting the target temperature to 4℃ and sending a notification to the user via the linked mobile application with the message "Eggs are about to expire, please dispose of them as soon as possible".

[0054] Specifically, the control system continuously calculates and updates three core indicators: the comprehensive deterioration index. Metamorphic fluctuation gradient and cumulative deterioration index Suppose that at a certain moment, the real-time data obtained is as follows: It is 87.2. It is 0.8 per minute. The value is 14500. These three values ​​together define a specific point in the egg's current three-dimensional state space.

[0055] The acquired data was compared with the pre-defined rules for the stable deterioration zone. The rules stipulate that the overall deterioration index is greater than 85, the deterioration fluctuation gradient is less than 1 per minute, and the cumulative deterioration index is less than 15000. Each condition was checked: 87.2 is greater than 85, so this condition is met. 0.8 is less than 1, so this condition is also met. 14500 is less than 15000, so this condition is also met. Since all conditions are met, the current state is confirmed to be in the stable deterioration zone. The characteristic of this zone is that the eggs are already highly deteriorated, but the rate of deterioration is relatively slow, and they have not yet reached the cumulative level of near expiration.

[0056] After successfully mapping the current state to the stable deterioration zone, a control command associated with that zone is triggered. In this case, the command is to perform a cooling operation. The control module sends a command to the refrigeration system to start the refrigeration compressor and lower the target temperature setpoint by 1°C, for example, from the current 5°C to 4°C. This inhibits microbial activity and the rate of chemical reactions, thereby slowing down the already high level of spoilage and extending the shelf life of the eggs.

[0057] Continuously track the comprehensive deterioration index Metamorphic fluctuation gradient and cumulative deterioration index Suppose that the data obtained in a certain test is as follows: It is 58.5. It is 5.6 per minute. The value is 11000. This set of data represents a state where the degree of deterioration is acceptable but the rate of deterioration is extremely rapid.

[0058] The judgment is made according to preset rules. The conditions of the rules are: the comprehensive deterioration index is less than 60, the deterioration fluctuation gradient is greater than 5 per minute, and the cumulative deterioration index is less than 15000. Verification: 58.5 is less than 60, satisfying the first condition. 5.6 is greater than 5, satisfying the second condition. 11000 is less than 15000, satisfying the third condition. All conditions are met, therefore the current state is successfully mapped to the rapidly fluctuating region. This situation usually occurs when there is a sudden change in the environment, such as the introduction of a large number of uncooled items, causing a rapid increase in humidity and carbon dioxide concentration within a short period of time.

[0059] Once the condition is determined to be in a zone of rapid fluctuation, a pre-set strong ventilation command is immediately executed. The control system sends a command to the ventilation equipment to start the ventilation fans and run them continuously at high power for 10 minutes. By using dry external air with a low carbon dioxide concentration, the high humidity and high carbon dioxide air in the internal environment is quickly replaced, thereby rapidly curbing the rapid rise in the spoilage index and restoring the preservation environment to a stable state as quickly as possible.

[0060] In the aforementioned control logic, the cumulative deterioration index It is the sole trigger condition because it represents the sum of all spoilage stresses the egg has experienced from the start of its preservation process to the present. It is continuously calculated and updated. The value is given. Assuming a long storage period, such as 28 days, the current cumulative deterioration index is calculated to be 30240.

[0061] The current cumulative spoilage index of 30240 is compared with the threshold of 30000 for the near-expiration zone. Since 30240 is greater than 30000, the condition is met. Therefore, the egg's current state is determined to be in the near-expiration zone. This means that regardless of the current instantaneous spoilage, the egg's overall freshness has decreased and it is nearing the end of its shelf life.

[0062] Once mapped to the near-expiration zone, two operations are initiated simultaneously. It sends an instruction to the environmental control unit to implement preservation measures, forcibly setting the target temperature at a low level, such as 4°C, to slow down the spoilage process as much as possible. It also connects to a cloud service via the network module to send a push notification to the user's mobile application linked to the device. This notification clearly informs the user, for example, "The eggs are about to expire; please dispose of them as soon as possible," thus reminding the user to handle them promptly. If the device is not in the "stable deterioration zone," "rapid fluctuation zone," or "near-expiration zone," the current environmental control conditions remain unchanged.

[0063] S4, detect whether there is a synchronous step change in the temperature and humidity data, and when a synchronous step change is detected, add a preset step penalty increment to the cumulative deterioration index, and within a preset time period thereafter, suspend the execution of the control instruction set obtained based on the three-dimensional control decision space, and instead execute a preset strong intervention control instruction.

[0064] Within each sampling period, the differences between the current temperature and humidity and those of the previous period are calculated. If, within a period, the temperature rises above a preset threshold (e.g., 2°C) and the humidity rises above a preset threshold (e.g., 15%), a synchronous step change is identified, typically caused by opening or closing the storage door. In this case, a large constant penalty value, such as 500, is immediately added to the current cumulative deterioration index A. Simultaneously, the regular three-dimensional spatial decision-making logic is immediately suspended, and a strong intervention control command is forcibly executed. For example, the dehumidifier is immediately started and the fan runs at maximum power for 10 minutes to quickly eliminate any condensation that may have formed on the eggshell surface. After 10 minutes, regular control based on the three-dimensional control decision space is resumed.

[0065] In an optional embodiment, the step involves detecting whether there is a synchronous step change in the temperature and humidity data, and when a synchronous step change is detected, adding a preset step penalty increment to the cumulative degradation index, and pausing the execution of the control instruction set obtained based on the three-dimensional control decision space for a preset period of time thereafter, and instead executing a preset strong intervention control instruction, including:

[0066] Within two adjacent sampling periods, when the rate of temperature change With humidity change rate A synchronous step change is determined to have occurred when all of the following conditions are met: >0.1℃ / s and If the cumulative degradation index is less than -0.5%RH / s, immediately add a preset step penalty increment with the same dimensions as the cumulative degradation index. ;

[0067] Over the next 15 minutes, the normal control logic is paused, and a strong intervention control command is executed: the refrigeration compressor is run at 100% power for 10 minutes, and then the temperature is restored to the original set temperature.

[0068] Specifically, the readings of the temperature and humidity sensors are monitored at second-level intervals. Assume that in one second, the temperature is 5.0°C and the humidity is 88% relative humidity. In the next second, due to the door opening, the readings change to 7.5°C and 80% relative humidity. The rate of change is immediately calculated: the temperature change rate is 2.5°C / s, and the humidity change rate is -8.0% relative humidity per second. These two rates of change are compared with preset thresholds. Since 2.5 is greater than 0.1 and -8.0 is less than -0.5, both conditions are met simultaneously, therefore a synchronous step change event is determined to have occurred.

[0069] Once a step change is detected, a punitive increase is immediately applied to the cumulative metamorphic index. Assume the current cumulative metamorphic index... The preset step penalty increment is 21000. The value is 300. The cumulative index is immediately updated to 21300. This increase simulates the instantaneous impact of the drastic environmental change caused by opening the door on egg quality. Simultaneously, the conventional control logic based on the three-dimensional decision space is suspended, and a special, intensive intervention mode lasting 15 minutes is initiated.

[0070] Upon entering the strong intervention mode, a preset emergency recovery procedure is immediately executed. This procedure instructs the refrigeration compressor to run at 100% maximum power for 10 minutes to quickly reduce the internal temperature, which had risen due to the door being opened, back to normal levels. After the 10-minute forced cooling period, the target temperature is restored to the pre-intervention set value, such as 5°C. After the entire 15-minute strong intervention cycle, the mode exits, reverting to the conventional three-dimensional spatial decision-making logic based on the comprehensive spoilage index, spoilage fluctuation gradient, and cumulative spoilage index, to continue regulating the preservation environment.

[0071] In the second embodiment, the present invention also proposes an intelligent control system for egg preservation based on environmental perception, comprising the following modules:

[0072] The correction module is used to collect real-time data on temperature, humidity, carbon dioxide concentration, and light intensity in the preservation environment of the eggs; based on the duration from the start of preservation to the current time, it determines the time-varying baseline weights of the temperature, humidity, and carbon dioxide concentration data; based on the time-varying baseline weights, it performs a weighted summation of the temperature, humidity, and carbon dioxide concentration data; and corrects the data based on the cumulative integral value of light intensity to obtain the comprehensive deterioration index for the current period.

[0073] The calculation module is used to calculate the time gradient of the comprehensive deterioration index within a preset time window to obtain the deterioration fluctuation gradient; and to calculate the cumulative integral of the comprehensive deterioration index from the start time of preservation to the current time to obtain the cumulative deterioration index.

[0074] The mapping module is used to construct a three-dimensional control decision space with the comprehensive deterioration index, the deterioration fluctuation gradient and the cumulative deterioration index as dimensions, and to map the three indicators currently calculated to the space to obtain a set of control instructions for controlling the preservation environment.

[0075] The execution module is used to detect whether there is a synchronous step change in the temperature and humidity data, and when a synchronous step change is detected, it adds a preset step penalty increment to the cumulative deterioration index, and within a preset time period thereafter, it suspends the execution of the control instruction set obtained based on the three-dimensional control decision space, and instead executes a preset strong intervention control instruction.

[0076] In an optional embodiment, the step of determining the time-varying baseline weights of the temperature, humidity, and carbon dioxide concentration data based on the duration from the start time of preservation to the current time, performing a weighted summation of the temperature, humidity, and carbon dioxide concentration data based on the time-varying baseline weights, and correcting it according to the cumulative integral value of light intensity to obtain the comprehensive deterioration index for the current period includes:

[0077] The collected temperature value T, humidity value H, and carbon dioxide concentration value C are mapped to the dimensionless interval [0, 100] using a preset normalization function N(x) to obtain normalized values. , and ;

[0078] Set time-varying weights based on the preservation time t. , , :

[0079] When t≤7 ;

[0080] When 7 < t ≤ 21 ;

[0081] When t > 21 ;

[0082] Calculate the cumulative integral value L(t) of light intensity from the start of preservation to the current time, and the comprehensive deterioration index for the current period. The calculation formula is:

[0083]

[0084] in, This is the dimensionless illumination correction term calculated based on the cumulative integral value L(t).

[0085] In an optional embodiment, calculating the time gradient of the comprehensive metamorphic index within a preset time window to obtain the metamorphic fluctuation gradient includes:

[0086] Obtain n comprehensive deterioration index sample points within a preset time window. Where i = 1, 2, ..., n, time In minutes;

[0087] A univariate linear regression analysis was performed on the sample points to establish a regression equation. The metamorphic fluctuation gradient That is, the slope 'a' of the equation.

[0088] In an optional embodiment, calculating the cumulative deterioration index by integrating the comprehensive deterioration index from the start time of preservation to the current time includes:

[0089] Set the data collection time interval to The cumulative degradation index is calculated using the discrete accumulation method. The calculation formula at time k is:

[0090]

[0091] in, This is the initial value at the start of the preservation process.

[0092] In an optional embodiment, the construction of a three-dimensional control decision space with the comprehensive deterioration index, the deterioration fluctuation gradient, and the cumulative deterioration index as dimensions, and mapping the currently calculated three indicators to the space to obtain a control instruction set for controlling the preservation environment, includes:

[0093] When the comprehensive deterioration index And the gradient of metamorphic fluctuations And the cumulative deterioration index At that time, the system is mapped to the "stable deterioration zone" and a cooling command is executed: the refrigeration compressor is started, and the ambient temperature is lowered by 1°C;

[0094] When the comprehensive deterioration index And the gradient of metamorphic fluctuations And the cumulative deterioration index When the map is mapped to the "rapid fluctuation zone", a strong ventilation command is executed: the ventilation fan is started and runs continuously for 10 minutes to rapidly reduce the carbon dioxide concentration and humidity;

[0095] When the cumulative deterioration index When the time comes, the system maps to the "near-expiration zone" and executes the near-expiration alarm command: forcibly setting the target temperature to 4℃ and sending a notification to the user via the linked mobile application with the message "Eggs are about to expire, please dispose of them as soon as possible".

[0096] In an optional embodiment, the step involves detecting whether there is a synchronous step change in the temperature and humidity data, and when a synchronous step change is detected, adding a preset step penalty increment to the cumulative degradation index, and pausing the execution of the control instruction set obtained based on the three-dimensional control decision space for a preset period of time thereafter, and instead executing a preset strong intervention control instruction, including:

[0097] Within two adjacent sampling periods, when the rate of temperature change With humidity change rate A synchronous step change is determined to have occurred when all of the following conditions are met: >0.1℃ / s and If the cumulative degradation index is less than -0.5%RH / s, immediately add a preset step penalty increment with the same dimensions as the cumulative degradation index. ;

[0098] Over the next 15 minutes, the normal control logic is paused, and a strong intervention control command is executed: the refrigeration compressor is run at 100% power for 10 minutes, and then the temperature is restored to the original set temperature.

[0099] It should be clarified that this application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of this application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application.

[0100] The functional modules shown in the above-described block diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this application are programs or code segments used to perform the required tasks. Programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried on a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0101] It should also be noted that the exemplary embodiments mentioned in this application describe methods or systems based on a series of steps or apparatus. However, this application is not limited to the order of the above steps; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0102] The aspects of this application have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by dedicated hardware performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0103] The above description is merely a specific implementation of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application.

Claims

1. A method for intelligent control of egg preservation based on environmental perception, characterized in that, include: Real-time data collection of temperature, humidity, carbon dioxide concentration, and light intensity within the preservation environment of the eggs; Based on the duration from the start time of preservation to the current time, the time-varying baseline weights of the temperature, humidity, and carbon dioxide concentration data are determined. The temperature, humidity, and carbon dioxide concentration data are then weighted and summed based on the time-varying baseline weights, and corrected according to the cumulative integral value of light intensity to obtain the comprehensive deterioration index for the current period. Calculate the time gradient of the comprehensive metamorphic index within a preset time window to obtain the metamorphic fluctuation gradient; The cumulative deterioration index is obtained by calculating the cumulative integral of the comprehensive deterioration index from the start time of preservation to the current time; A three-dimensional control decision space is constructed with the comprehensive deterioration index, the deterioration fluctuation gradient, and the cumulative deterioration index as dimensions, and the three indicators currently calculated are mapped to the space to obtain a set of control instructions for controlling the preservation environment; The system detects whether there are synchronous step changes in the temperature and humidity data. When a synchronous step change is detected, a preset step penalty increment is added to the cumulative deterioration index. For a preset duration thereafter, the execution of the control instruction set obtained based on the three-dimensional control decision space is suspended, and a preset strong intervention control instruction is executed instead.

2. The method according to claim 1, characterized in that, The process involves determining time-varying baseline weights for temperature, humidity, and carbon dioxide concentration data based on the duration from the start of preservation to the current time. Then, a weighted sum of the temperature, humidity, and carbon dioxide concentration data is performed based on these time-varying baseline weights, and corrected according to the cumulative integral value of light intensity, to obtain the comprehensive deterioration index for the current period, including: The collected temperature value T, humidity value H, and carbon dioxide concentration value C are mapped to the dimensionless interval [0, 100] using a preset normalization function N(x) to obtain normalized values. , and ; Set time-varying weights based on the preservation time t. , , : When t≤7 ; When 7 < t ≤ 21 ; When t > 21 ; Calculate the cumulative integral value L(t) of light intensity from the start of preservation to the current time, and the comprehensive deterioration index for the current period. The calculation formula is: ； in, This is the dimensionless illumination correction term calculated based on the cumulative integral value L(t).

3. The method according to claim 1, characterized in that, The calculation of the time gradient of the comprehensive metamorphism index within a preset time window to obtain the metamorphism fluctuation gradient includes: Obtain n comprehensive deterioration index sample points within a preset time window. Where i = 1, 2, ..., n, time In minutes; A univariate linear regression analysis was performed on the sample points to establish a regression equation. The metamorphic fluctuation gradient That is, the slope 'a' of the equation.

4. The method according to claim 3, characterized in that, The calculation of the cumulative deterioration index, obtained by integrating the comprehensive deterioration index from the start time of preservation to the current time, includes: Set the data collection time interval to The cumulative degradation index is calculated using the discrete accumulation method. The calculation formula at time k is: ； in, This is the initial value at the start of the preservation process.

5. The method according to claim 4, characterized in that, The process involves constructing a three-dimensional control decision space with the comprehensive deterioration index, the deterioration fluctuation gradient, and the cumulative deterioration index as dimensions, and mapping the currently calculated three indicators to this space to obtain a control instruction set for regulating the preservation environment, including: When the comprehensive deterioration index And the gradient of metamorphic fluctuations And the cumulative deterioration index At this time, the map is mapped to the "stable deterioration zone", and a cooling command is executed: the refrigeration compressor is started, and the ambient temperature is lowered by 1°C; When the comprehensive deterioration index And the gradient of metamorphic fluctuations And the cumulative deterioration index At that time, the map is mapped to the "rapid fluctuation zone," and a strong ventilation command is executed: the ventilation fan is started and runs continuously for 10 minutes to rapidly reduce the carbon dioxide concentration and humidity; When the cumulative deterioration index When the time comes, the system maps to the "near-expiration zone" and executes the near-expiration alarm command: forcibly sets the target temperature to 4℃ and sends a notification to the user via the bound mobile application with the message "Eggs are about to expire, please dispose of them as soon as possible".

6. The method according to claim 1, characterized in that, The process involves detecting whether there are synchronous step changes in the temperature and humidity data, and when a synchronous step change is detected, adding a preset step penalty increment to the cumulative degradation index. Furthermore, for a preset duration thereafter, the execution of the control instruction set obtained based on the three-dimensional control decision space is paused, and instead, a preset strong intervention control instruction is executed, including: Within two adjacent sampling periods, when the rate of temperature change With humidity change rate A synchronous step change is determined to have occurred when all of the following conditions are met: >0.1℃ / s and If the cumulative degradation index is less than -0.5%RH / s, immediately add a preset step penalty increment with the same dimensions as the cumulative degradation index. ; Over the next 15 minutes, the normal control logic is paused, and a strong intervention control command is executed: the refrigeration compressor is run at 100% power for 10 minutes, and then the temperature is restored to the original set temperature.

7. An intelligent control system for egg preservation based on environmental perception, characterized in that, Includes the following modules: The correction module is used to collect real-time data on temperature, humidity, carbon dioxide concentration, and light intensity in the preservation environment of the eggs. Based on the duration from the start time of preservation to the current time, the time-varying baseline weights of the temperature, humidity, and carbon dioxide concentration data are determined. The temperature, humidity, and carbon dioxide concentration data are then weighted and summed based on the time-varying baseline weights, and corrected according to the cumulative integral value of light intensity to obtain the comprehensive deterioration index for the current period. The calculation module is used to calculate the time gradient of the comprehensive metamorphism index within a preset time window to obtain the metamorphism fluctuation gradient. The cumulative deterioration index is obtained by calculating the cumulative integral of the comprehensive deterioration index from the start time of preservation to the current time; The mapping module is used to construct a three-dimensional control decision space with the comprehensive deterioration index, the deterioration fluctuation gradient and the cumulative deterioration index as dimensions, and to map the three indicators currently calculated to the space to obtain a set of control instructions for controlling the preservation environment. The execution module is used to detect whether there is a synchronous step change in the temperature and humidity data, and when a synchronous step change is detected, it adds a preset step penalty increment to the cumulative deterioration index, and within a preset time period thereafter, it suspends the execution of the control instruction set obtained based on the three-dimensional control decision space, and instead executes a preset strong intervention control instruction.

8. The system according to claim 7, characterized in that, The process involves determining time-varying baseline weights for temperature, humidity, and carbon dioxide concentration data based on the duration from the start of preservation to the current time. Then, a weighted sum of the temperature, humidity, and carbon dioxide concentration data is performed based on these time-varying baseline weights, and corrected according to the cumulative integral value of light intensity, to obtain the comprehensive deterioration index for the current period, including: The collected temperature value T, humidity value H, and carbon dioxide concentration value C are mapped to the dimensionless interval [0, 100] using a preset normalization function N(x) to obtain normalized values. , and ; Set time-varying weights based on the preservation time t. , , : When t≤7 ; When 7 < t ≤ 21 ; When t > 21 ; Calculate the cumulative integral value L(t) of light intensity from the start of preservation to the current time, and the comprehensive deterioration index for the current period. The calculation formula is: ； in, This is the dimensionless illumination correction term calculated based on the cumulative integral value L(t).

9. The system according to claim 8, characterized in that, The calculation of the time gradient of the comprehensive metamorphism index within a preset time window to obtain the metamorphism fluctuation gradient includes: Obtain n comprehensive deterioration index sample points within a preset time window. Where i = 1, 2, ..., n, time In minutes; A univariate linear regression analysis was performed on the sample points to establish a regression equation. The metamorphic fluctuation gradient That is, the slope 'a' of the equation.

10. A computer-readable storage medium storing a computer program thereon, characterized in that, The computer program, when executed by a processor, implements the method as described in any one of claims 1-6.

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