Regulation and control electric field fresh-keeping method and device for ship partner refrigeration house and storage medium

Abstract

The invention relates to an electric field regulation and control preservation method and device for a ship partner refrigeration house and a storage medium, and relates to the technical field of refrigeration house preservation based on an electric field, and the method comprises the steps that S1, a set working mode is received; s2, searching a corresponding electric field intensity reference value and an electric field uniformity threshold value according to a set working mode; s3, acquiring each electric field intensity sensor in real time; s4, the maximum electric field intensity error and the average electric field change rate are calculated based on the collected electric field intensity values, and comprehensive uniformity parameters are obtained through calculation in combination with the electric field intensity reference value; s5, judging whether the comprehensive uniformity parameter is lower than an electric field uniformity threshold value or not, and if yes, executing the step S6; and S6, working parameters of the electric field generator are adjusted according to the maximum electric field intensity error and the average electric field change rate. Compared with the prior art, the food fresh-keeping device can effectively solve the problem that the food fresh-keeping effect is poor due to uneven electric field distribution caused by long-term wave swinging.

Description

Technical Field

[0001] The present invention relates to the technical field of cold storage preservation based on electric fields, and in particular to a method, device and storage medium for regulating electric field preservation in a ship's galley cold storage. Background Art

[0002] In the field of ship transportation, especially during ocean voyages and the execution of ship missions, the stable supply of fresh food for crew members is of crucial importance. However, there are many shortcomings in the existing common ship cold storage preservation technologies, especially the lack of electric field preservation, making it difficult to meet the actual needs of crew members. Traditional ship cold storages mainly rely on refrigeration systems to lower the temperature to delay the spoilage rate of food. But this single preservation method ignores the positive effect of electric fields on food preservation. Without the participation of electric fields, although the activities of microorganisms and enzymes in the cold storage will be reduced due to low temperature, they still have a certain ability to move and will continuously decompose and damage the food. For example, for meat stored in an ordinary cold storage, even if the temperature is maintained at a low level, the growth of microorganisms will still cause the meat quality to gradually deteriorate, with the appearance of peculiar smells and color changes, and generally, the edible quality will be significantly affected within about a week.

[0003] Moreover, without the action of electric fields, the metabolic processes of the food in the cold storage cannot be effectively inhibited. After being picked, agricultural products such as vegetables and fruits will still carry out respiration and other physiological activities, continuously consuming their own nutrients and moisture, resulting in a rapid decline in their freshness and taste. Taking apples as an example, after being stored in an ordinary cold storage for two weeks, problems such as water loss, shriveled skin, and powdery taste will occur, greatly reducing their edible value.

[0004] With the extension of ocean voyage time and the diversification of ship missions, the crew's requirements for food preservation are getting higher and higher. Due to the lack of this key link of electric field preservation in the existing common ship cold storage preservation technologies, it is impossible to provide crew members with a long-term and stable supply of fresh food, seriously affecting the quality of life and work efficiency of crew members, and also causing certain obstacles to the normal operation and mission execution of ships.

[0005] Chinese Patent CN212029974U discloses a cold storage system applying the high-voltage electrostatic field preservation technology, which uses a movable pallet rack to generate a high-voltage electrostatic field and monitors the electric field intensity through an electric field intensity sensor to adjust the output voltage of the high-voltage electrostatic field generating device. However, when this patent is applied to the ship's galley cold storage, only the electric field intensity is adjusted by the feedback of the electric field intensity sensor, without considering the different requirements of different foods for the electric field. In the ship's galley cold storage, the characteristics of various foods such as meat, fruits and vegetables, and seafood are very different, and the preservation requirements are also different. This application does not provide personalized electric field parameters for different foods, making it difficult to achieve the best preservation effect. In this regard, Chinese Patent CN113016865A discloses a food preservation method based on a dynamic electric field, which designs different voltage ranges and frequencies for different foods, so as to try to provide the best preservation effect for different foods.

[0006] However, whether it is the above cold storage system or the improved food preservation method based on the dynamic electric field, they are both for the preservation of stationary cold storage. During ocean voyages, due to the vibration of the hull with the waves, in the long-term effect, on the one hand, the change in the distance between metal plates will directly change the electric field intensity, and on the other hand, the vibration of the metal plates may cause uneven electric field distribution, and the food materials in some areas cannot obtain the preset preservation parameters. Therefore, it is necessary to add feedback control to it. However, most of the conventional feedback control schemes collect the electric field parameters at the target position and then adjust the working parameters of the electric field generating device through methods such as PID control. For example, Chinese Patent CN120101412A discloses a closed-loop control method and device for the electric field intensity in a cold storage space, which uses a global weighted average algorithm to generate the electric field intensity control value. For example, the weights are assigned in reverse order of natural numbers, and all sensors are equally weighted without distinguishing the importance of the sensor positions. It can only solve the problems of fluctuations and deviations of electric field parameters and cannot solve the problem of the decline in preservation effect caused by uneven electric field distribution. Summary of the Invention

[0007] The purpose of the present invention is to provide a method, device and storage medium for regulating the electric field preservation in a ship's galley cold storage to solve the defects of the above-mentioned prior art.

[0008] The purpose of the present invention can be achieved by the following technical solutions: A method for regulating the electric field preservation in a ship's galley cold storage includes: Step S1: Receive the set working mode, where the working mode corresponds one-to-one to the type of food to be preserved; Step S2: According to the set working mode, find the corresponding reference value of the electric field intensity and the threshold value of the electric field uniformity; Step S3: Real-time obtain the electric field intensity values collected by the first electric field intensity sensor, the second electric field intensity sensor, and the third electric field intensity sensor. Among them, the first electric field intensity sensor, the second electric field intensity sensor, and the third electric field intensity sensor are all located at the top of the cold storage and are arranged in a straight line along the diagonal of the cold storage; Step S4: Calculate the maximum electric field intensity error and the average electric field change rate based on the electric field intensity values collected by the first electric field intensity sensor, the second electric field intensity sensor, and the third electric field intensity sensor, and calculate the comprehensive uniformity parameter in combination with the electric field intensity reference value; Step S5: Determine whether the comprehensive uniformity parameter is lower than the electric field uniformity threshold. If so, execute Step S6; Step S6: Adjust the working parameters of the electric field generator according to the maximum electric field intensity error and the average electric field change rate.

[0009] The specific content of Step S3 includes: Step S3-1: Respectively obtain the first electric field intensity time-series data collected by the first electric field intensity sensor, the second electric field intensity time-series data collected by the second electric field intensity sensor, and the third electric field intensity time-series data collected by the third electric field intensity sensor; Step S3-2: Align the first electric field intensity time-series data, the second electric field intensity time-series data, and the third electric field intensity time-series data on the time axis.

[0010] The content of Step S4 includes: Step S4-1: Calculate the maximum electric field intensity error with the electric field intensity values corresponding to the current moment in the first electric field intensity time-series data, the second electric field intensity time-series data, and the third electric field intensity time-series data:

[0011] Where: is t the maximum electric field intensity error at time is t the electric field intensity collected by the first electric field intensity sensor at time is t the electric field intensity collected by the second electric field intensity sensor at time is t the electric field intensity collected by the third electric field intensity sensor at time; Step S4-2: Calculate the average electric field change rate with the electric field intensity values corresponding to the current moment and the electric field intensity values corresponding to the previous moment in the first electric field intensity time-series data, the second electric field intensity time-series data, and the third electric field intensity time-series data:

[0012] Where: is t the average rate of change of the electric field at the moment, is t the electric field strength collected by the first electric field strength sensor at -1 moment, is t the electric field strength collected by the second electric field strength sensor at -1 moment, is t the electric field strength collected by the third electric field strength sensor at -1 moment; Step S4-3: Calculate the comprehensive uniformity parameter by combining the electric field strength reference value.

[0013] The said step S4-3 includes: Step S4-3-1: Calculate the regional gradient weighted difference according to the electric field strength values corresponding to the current moment in the first electric field strength time series data, the second electric field strength time series data and the third electric field strength time series data:

[0014] Where: is t the regional gradient weighted difference at the moment; Step S4-3-2: Calculate the comprehensive uniformity parameter based on the regional gradient weighted difference, the maximum electric field strength error, and by combining the electric field strength reference value:

[0015] Where: E t is t the comprehensive uniformity parameter at the moment, is the electric field strength reference value.

[0016] The electric field uniformity threshold is a natural number with a value range of [0.7, 1].

[0017] The said step S6 includes: Step S6-1: Judge whether the ingredient corresponding to the working mode is meat. If so, execute step S6-2; otherwise, execute step S6-3; Step S6-2: Judge whether the maximum electric field strength error exceeds the first pre-configured threshold. If so, execute step S6-3; Step S6-3: Obtain the feature vector based on the maximum electric field strength error, the average rate of change of the electric field, and the working mode; Step S6-4: Input the obtained feature vector into the trained first model to output a vector, where the output vector consists of the working parameters corresponding to two electric field generators respectively.

[0018] The first pre-configured threshold is 200 V / m.

[0019] The operating parameters of the electric field generator include input voltage and pulse frequency.

[0020] A regulated electric field freshness preservation device for a ship's galley cold storage includes a memory, a processor, and a program stored in the memory. When the processor executes the program, the above-mentioned method is implemented.

[0021] A storage medium stores a program, and when the program is executed, the above-mentioned method is implemented.

[0022] Compared with the prior art, the present invention has the following beneficial effects: 1. By comparing the comprehensive uniformity parameter with specific thresholds corresponding to different food categories to determine whether to adjust the operating parameters, the problem of uneven electric field distribution can be accurately and timely detected. During ocean voyages, the problem of poor freshness preservation of food materials caused by uneven electric field distribution due to long-term swaying with waves can be effectively solved.

[0023] 2. Distinguish the maximum difference and the average difference, and strengthen the monitoring of the central core area through the regional gradient weighted difference, so that the obtained comprehensive uniformity parameter can better reflect the electric field intensity of the central core part. Therefore, when resources are limited, the freshness preservation effect of the main part of the food materials can be effectively improved.

[0024] 3. When preserving meat, by appropriately increasing the electric field uniformity threshold and superimposing the maximum electric field intensity error criterion, the electric field uniformity at the top is preferentially guaranteed.

[0025] 4. When preserving fruits and vegetables, appropriately reduce the electric field uniformity threshold, and focus on maintaining the stability of the electric field in the middle part through the average electric field change rate, which can effectively reduce water loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 is a schematic structural diagram of the present invention; Figure 2 is a schematic flowchart of the main steps of the method of the present invention; Wherein: 1. Cold storage body, 2. Cold storage door, 3. Parameter setting module, 4. Control center, 5. Voltage regulation device, 6. Electric field generating device, 7. Positive electrode plate, 8. Negative electrode plate, 9. Electric field intensity sensor. DETAILED DESCRIPTION OF THE INVENTION

[0027] The present invention will be described in detail below with reference to the drawings and specific embodiments. This embodiment is implemented on the premise of the technical solution of the present invention, and gives detailed implementation manners and specific operation processes, but the protection scope of the present invention is not limited to the following embodiments.

[0028] like Figure 1 As shown, the cold storage body 1 used for food preservation adopts a double-layer structure, with high-efficiency insulation materials filled between the inner and outer layers, and multi-layer metal shelves arranged inside; the cold storage door 2 is installed with sealing strips; the parameter setting module 3 is used to input food category information; the control center 4 receives parameters and processes instructions; the voltage control device 5 adjusts the voltage; the electric field generating device 6 generates an electric field; the positive and negative electrode plates 7 and 8 work under the action of the electric field; and the electric field strength sensor 9 monitors the electric field parameters.

[0029] Similar to the prior art, suppose a batch of fresh meat enters the cold storage, and the operator selects the "Meat" option in the parameter setting module 3. The parameter setting module 3 matches the preset electric field parameters suitable for meat preservation and transmits them to the control center 4. The control center 4 sends instructions to the voltage control device 5, and the voltage control device 5 adjusts the output voltage so that the electric field generating device 6 generates a higher intensity constant voltage electric field, which acts on the meat through the positive electrode plate 7 and the negative electrode plate 8. During the preservation process, if the electric field strength decreases due to the vibration of the ship, the electric field strength sensor 9 monitors the data change and transmits it to the control center 4. After analysis, the control center 4 sends instructions to the voltage control device 5, and the voltage control device 5 increases the output voltage and enhances the electric field strength to ensure that the meat is always in the best preservation electric field environment, thereby extending the shelf life of the meat and maintaining good edible quality.

[0030] However, since the cold storage body 1 is located in a ship sailing on the ocean, it is in a turbulent state caused by the action of waves for a long time. In this regard, the present application provides a method for regulating electric field preservation for ship food cold storage, which determines whether to adjust the working parameters by comparing the comprehensive uniformity parameters with the specific thresholds corresponding to different food categories, so that the problem of uneven electric field distribution can be accurately and timely discovered during ocean voyages, which can effectively solve the problem of poor food preservation effect caused by uneven electric field distribution caused by long-term wave swings.

[0031] Specific as Figure 2 As shown, including: Step S1: receiving a set working mode, wherein the working mode corresponds to the type of food that needs to be kept fresh; The working mode can be manually input by the user, or can be entered through RFID or barcode. Specifically, after entering the RFID or barcode, the corresponding food category classification can be queried.

[0032] Step S2: According to the set working mode, find the corresponding electric field strength reference value and electric field uniformity threshold; Specifically, each type of food ingredient is configured with a reference value of electric field strength and a threshold value of electric field uniformity. In this embodiment, these values are obtained by looking up a table. Specifically, the reference value of electric field strength can be determined through experimental measurement. In this embodiment, the reference value of electric field strength for meat q ref is set to 100 - 120 kV / m, and the reference value of electric field strength for fruits and vegetables q ref is set to 50 - 70 kV / m. For the threshold value of electric field uniformity, it is a natural number with a value range of [0.7, 1]. In this embodiment, the threshold value of electric field uniformity for meat is set to 0.92, and the threshold value of electric field uniformity for fruits and vegetables is set to 0.85.

[0033] Step S3: Real-time obtain the electric field strength values collected by the first electric field strength sensor, the second electric field strength sensor, and the third electric field strength sensor. Among them, the first electric field strength sensor, the second electric field strength sensor, and the third electric field strength sensor are all located at the top of the cold storage and are arranged in a straight line along the diagonal of the cold storage. Specifically, it includes: Step S3-1: Respectively obtain the first electric field strength time-series data collected by the first electric field strength sensor, the second electric field strength time-series data collected by the second electric field strength sensor, and the third electric field strength time-series data collected by the third electric field strength sensor. Among them, the first electric field strength sensor is Figure 1 the electric field strength sensor in the upper middle position, the second electric field strength sensor is Figure 1 the electric field strength sensor in the middle position, and the third electric field strength sensor is Figure 1 the electric field strength sensor in the lower right corner; Step S3-2: Align the first electric field strength time-series data, the second electric field strength time-series data, and the third electric field strength time-series data on the time axis.

[0034] Step S4: Calculate the maximum electric field strength error and the average electric field change rate based on the electric field strength values collected by the first electric field strength sensor, the second electric field strength sensor, and the third electric field strength sensor, and calculate the comprehensive uniformity parameter in combination with the reference value of electric field strength, including: Step S4-1: Using the electric field strength values corresponding to the current moment in the first electric field strength time-series data, the second electric field strength time-series data, and the third electric field strength time-series data, calculate the maximum electric field strength error:

[0035] Where: is t the maximum electric field strength error at time is t the electric field strength collected by the first electric field strength sensor at time ist The electric field strength collected by the second electric field strength sensor at the moment is t the electric field strength collected by the third electric field strength sensor at the moment; Step S4-2: Calculate the average electric field change rate based on the electric field strength values corresponding to the current moment and the previous moment in the first electric field strength time series data, the second electric field strength time series data, and the third electric field strength time series data:

[0036] where: is t the average electric field change rate at the moment, is t the electric field strength collected by the first electric field strength sensor at the moment - 1, is t the electric field strength collected by the second electric field strength sensor at the moment - 1, is t the electric field strength collected by the third electric field strength sensor at the moment - 1; Step S4-3: Calculate the comprehensive uniformity parameter in combination with the electric field strength reference value, including: Step S4-3-1: Calculate the regional gradient weighted difference based on the electric field strength values corresponding to the current moment in the first electric field strength time series data, the second electric field strength time series data, and the third electric field strength time series data:

[0037] where: is t the regional gradient weighted difference at the moment; Step S4-3-2: Calculate the comprehensive uniformity parameter based on the regional gradient weighted difference, the maximum electric field strength error, and in combination with the electric field strength reference value:

[0038] where: E t is t the comprehensive uniformity parameter at the moment, is the electric field strength reference value.

[0039] Step S5: Determine whether the comprehensive uniformity parameter is lower than the electric field uniformity threshold. If so, execute Step S6; otherwise, do not process; Step S6: Adjust the working parameters of the electric field generator according to the maximum electric field strength error and the average electric field change rate, including: Step S6-1: Determine whether the corresponding food ingredient is meat based on the working mode. If so, execute Step S6-2; otherwise, execute Step S6-3; Step S6-2: Determine whether the maximum electric field strength error exceeds a first pre-configured threshold. In this embodiment, the first pre-configured threshold is 200 V / m. If so, execute Step S6-3; otherwise, no processing is performed; Step S6-3: Obtain a feature vector based on the maximum electric field strength error, the average electric field change rate, and the working mode; Step S6-4: Input the obtained feature vector into the trained first model to output a vector, where the output vector consists of the working parameters corresponding to two electric field generators respectively.

[0040] In this embodiment, the working parameters of the electric field generator include the input voltage and the pulse frequency.

[0041] To verify the effectiveness of the technical solution of this application, experiments are carried out for verification. The specific experimental conditions are as follows: Simulate the rolling vibration environment of an ocean-going ship with ±15°. Cold storage temperature: -2°C for meat and 4°C for fruits and vegetables. The difference between the comparative example and this application is set as follows: In the comparative example, the electric field strength is obtained by weighted summation of the data collected by three electric field strength sensors and controlled by PID feedback. The final results are shown in Table 1.

[0042] Table 1

[0043] The conclusion of the above comparative example is as follows: In the vibration environment, due to the real-time optimization of the electric field uniformity, the food deterioration index of this application scheme is significantly better than that of the traditional global weighted average control.

[0044] If the above functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

Claims

1. A method for regulating the electric field preservation of the ship's galley cold storage, characterized in that, Including: Step S1: Receive the set working mode, where the working mode corresponds one-to-one to the type of food to be preserved; Step S2: According to the set working mode, find the corresponding reference value of electric field strength and the threshold value of electric field uniformity; Step S3: Real-time obtain the electric field strength values collected by the first electric field strength sensor, the second electric field strength sensor, and the third electric field strength sensor, where the first electric field strength sensor, the second electric field strength sensor, and the third electric field strength sensor are all located at the top of the cold storage and are arranged in a straight line along the diagonal of the cold storage; Step S4: Calculate the maximum electric field strength error and the average electric field change rate based on the electric field strength values collected by the first electric field strength sensor, the second electric field strength sensor, and the third electric field strength sensor, and calculate the comprehensive uniformity parameter in combination with the reference value of electric field strength; Step S5: Judge whether the comprehensive uniformity parameter is lower than the electric field uniformity threshold. If so, execute Step S6; Step S6: Adjust the working parameters of the electric field generator according to the maximum electric field strength error and the average electric field change rate.

2. The regulation electric field fresh-keeping method for a ship's galley cold storage according to claim 1, characterized in that, The specific content of Step S3 includes: Step S3-1: Respectively obtain the first electric field strength time series data collected by the first electric field strength sensor, the second electric field strength time series data collected by the second electric field strength sensor, and the third electric field strength time series data collected by the third electric field strength sensor; Step S3-2: Align the first electric field strength time series data, the second electric field strength time series data, and the third electric field strength time series data on the time axis.

3. The regulation electric field fresh-keeping method for a ship's galley cold storage according to claim 2, characterized in that, The content of Step S4 includes: Step S4-1: Calculate the maximum electric field strength error with the electric field strength values corresponding to the current moment of the first electric field strength time series data, the second electric field strength time series data, and the third electric field strength time series data; Wherein: is t the maximum electric field strength error at a moment, is t the electric field strength collected by the first electric field strength sensor at a moment, is t the electric field strength collected by the second electric field strength sensor at a moment, is t the electric field strength collected by the third electric field strength sensor at a moment; Step S4-2: Calculate the average electric field change rate with the electric field strength values corresponding to the current moment and the electric field strength values corresponding to the previous moment of the first electric field strength time series data, the second electric field strength time series data, and the third electric field strength time series data; Wherein: is t the average rate of change of the electric field at a moment, is t the electric field strength collected by the first electric field strength sensor at time - 1, is t the electric field strength collected by the second electric field strength sensor at time - 1, is t the electric field strength collected by the third electric field strength sensor at time - 1; Step S4-3: Calculate the comprehensive uniformity parameter in combination with the reference value of electric field strength.

4. A method for regulating the electric field preservation of a ship's galley cold storage according to claim 3, characterized in that The content of Step S4-3 includes: Step S4-3-1: Calculate the regional gradient weighted difference according to the electric field strength values corresponding to the current moment of the first electric field strength time series data, the second electric field strength time series data, and the third electric field strength time series data; Wherein: is t the region gradient weighted difference at the moment; Step S4-3-2: Calculate the comprehensive uniformity parameter based on the regional gradient weighted difference, the maximum electric field strength error, and in combination with the reference value of electric field strength; Wherein: E t is t the moment comprehensive uniformity parameter, is the reference value of the electric field strength.

5. A method for regulating the electric field for fresh-keeping in a ship's galley cold storage according to claim 1, characterized in that, The electric field uniformity threshold is a natural number with a value range of [0.7, 1].

6. The regulation electric field fresh-keeping method for a ship's galley cold storage according to claim 1, characterized in that The content of Step S6 includes: Step S6-1: Judge whether the corresponding food is meat based on the working mode. If so, execute Step S6-2; otherwise, execute Step S6-3; Step S6-2: Judge whether the maximum electric field strength error exceeds the first pre-configured threshold. If so, execute Step S6-3; Step S6-3: Obtain the eigenvector based on the maximum electric field strength error, the average electric field change rate, and the working mode; Step S6-4: Input the obtained feature vector into the trained first model to output a vector, where the output vector consists of the operating parameters corresponding to two electric field generators respectively.

7. A method for regulating an electric field for fresh-keeping in a ship's galley cold storage according to claim 6, characterized in that, The first pre-configured threshold is 200 V / m.

8. A method for regulating an electric field for fresh-keeping in a ship's galley cold storage according to claim 6, characterized in that, The operating parameters of the electric field generator include input voltage and pulse frequency.

9. A regulation electric field freshness preservation device for a ship's galley cold storage, comprising a memory, a processor, and a program stored in the memory, characterized in that, When the processor executes the program, it implements the method according to any one of claims 1-8.

10. A storage medium, on which a program is stored, characterized in that, When the program is executed, it implements the method according to any one of claims 1-8.

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