Energy-saving defrosting control method and system for marine refrigeration equipment

Abstract

The invention discloses an energy-saving defrosting control method and system for marine refrigeration equipment, and relates to the related field of refrigeration energy conservation, and the method comprises the steps: deploying a composite sensor at a key point on the surface of an evaporator, and obtaining a dynamic map based on the frosting rate-distribution-form; sending to a defrosting control module, executing target defrosting mode judgment and directional defrosting decision, determining a defrosting parameter control group, and performing decision constraint based on the attitude constraint condition of the ship swing angle; and performing register storage on the defrosting parameter control group, and performing driving control on the defrosting execution assembly by performing control sequence optimization based on refrigerant planning and dynamic priority weight. The technical problems that the defrosting efficiency is low, the energy consumption is high and the refrigeration stability is influenced due to the fact that the actual frosting state of the evaporator cannot be accurately matched in the defrosting control of the existing marine refrigeration equipment are solved, and the technical effects of accurately matching the actual frosting state of the evaporator, improving the defrosting efficiency, reducing the operation energy consumption and guaranteeing the refrigeration stability are achieved.

Description

Technical Field

[0001] This application relates to the field of energy conservation in refrigeration, and in particular to an energy-saving defrosting control method and system for marine refrigeration equipment. Background Technology

[0002] Frosting on evaporators in marine refrigeration equipment directly reduces heat exchange efficiency, increases energy consumption, and affects refrigerated quality, making it a critical issue that must be addressed for the stable and efficient operation of marine cold chain systems. Current mainstream technologies for addressing evaporator frost formation primarily employ timed defrosting or single-temperature threshold-triggered defrosting. Specifically, this involves initiating electric defrosting or hot gas defrosting at fixed time intervals, or triggering a uniform defrosting action across the entire evaporator area only when a single temperature point at the evaporator outlet reaches a set value. Existing methods rely on fixed cycles or single-point temperature judgments, failing to detect the actual distribution, thickness, and growth rate differences of frost layers at different locations on the evaporator. This results in defrosting either starting too early, wasting energy, or starting too late, leading to deteriorated heat exchange. Furthermore, uniform defrosting across the entire area causes ineffective energy consumption and temperature fluctuations in areas that do not require defrosting.

[0003] Currently, the defrosting control of marine refrigeration equipment suffers from technical problems such as the inability to accurately match the actual frost state of the evaporator, resulting in low defrosting efficiency, high energy consumption, and impact on refrigeration stability. Summary of the Invention

[0004] This application provides an energy-saving defrosting control method and system for marine refrigeration equipment. It employs a method that deploys composite sensors at key points on the evaporator surface to obtain dynamic maps of frost rate, distribution, and morphology. These dynamic maps are then sent to a defrosting control module embedded in the central control unit. By combining the ship's roll angle with attitude constraints, the target defrosting mode is determined, and a defrosting control parameter group is established. This group is stored in a register. Through refrigerant planning and dynamic priority weight optimization of the control sequence, the defrosting execution component is driven to complete defrosting control. This method solves the technical problems of existing marine refrigeration equipment defrosting control systems, which cannot accurately match the actual evaporator frost state, resulting in low defrosting efficiency, high energy consumption, and compromised refrigeration stability. The system achieves the technical effects of accurately matching the actual evaporator frost state, improving defrosting efficiency, reducing operating energy consumption, and ensuring refrigeration stability.

[0005] This application provides an energy-saving defrosting control method for marine refrigeration equipment, comprising: deploying composite sensors at key points on the evaporator surface of the refrigeration equipment to acquire a dynamic spectrum based on frost rate-distribution-morphology; sending the dynamic spectrum to a defrosting control module embedded in the central control unit of the refrigeration equipment to perform target defrosting mode judgment and directional defrosting decision-making, and determining a defrosting control parameter group, wherein the decision-making constraint is based on the attitude constraint condition based on the ship's roll angle; storing the defrosting control parameter group in a register, and driving and controlling the defrosting execution components by optimizing the control sequence based on refrigerant planning and dynamic priority weights.

[0006] In a possible implementation, the following processing is performed: the key points include the air inlet side, the middle of the fins, and the air outlet side; the composite sensor is a miniature wireless temperature-humidity-imaging type; based on the composite sensor, the key points are acquired in a time sequence and converted into a vector distribution, which is then integrated into the dynamic map, wherein the vector distribution includes the micro-frost layer thickness, frost layer distribution uniformity, and frost crystal morphology.

[0007] In a possible implementation, the defrosting control module performs the following processes: deploying multiple defrosting modes, wherein the multiple defrosting modes include local reverse circulation, hot gas bypass combined with cold storage agent spraying, and high-frequency pulsed electric heating combined with airflow flushing; deploying a first judgment threshold based on the mode judgment of the multiple defrosting modes; deploying a defrosting decision array according to the multiple defrosting modes, wherein the defrosting decision array includes multiple defrosting decision units corresponding to the multiple defrosting modes; and constructing a defrosting control module according to the first judgment threshold and the defrosting decision array.

[0008] In a possible implementation, the following steps are performed: a target defrosting mode determination and directional defrosting decision are made to determine the defrosting control group. The following processes are then executed: the defrosting control module embedded in the refrigeration equipment's central control unit receives the dynamic spectrum, performs joint judgment based on vector features, and determines the target defrosting mode, which may be a single defrosting mode or a combination of multiple defrosting modes; the ship's six-degree-of-freedom motion data are acquired to determine the ship's roll angle; and based on the target defrosting mode and the ship's roll angle, the defrosting decision array is directionally activated and a decision is made to determine the defrosting control group.

[0009] In a possible implementation, based on the target defrosting mode and the ship's roll angle, the defrosting decision array is directionally activated and decisions are made, and the following processes are performed: the interaction between the ship's roll and the evaporator's windward side is explored; attitude constraints are determined by performing a first-order transformation of the ship's roll angle based on the interaction relationship and a second-order transformation based on the target defrosting mode; the defrosting decision array is directionally activated according to the target defrosting mode, and mode-driven decisions are performed in conjunction with the attitude constraints to generate the defrosting parameter control group.

[0010] In a possible implementation, control sequence optimization based on refrigerant planning is performed, and the following processes are executed: the defrost parameter control group is stored in the first register; before the defrost mode is activated, the pressure balance point after refrigerant migration is predicted based on the real-time operating conditions of the evaporator; according to the pressure balance point, the refrigerant recovery path and flow rate are dynamically planned to generate refrigerant planning parameters; and the refrigerant planning parameters are added to the defrost parameter control group.

[0011] In a possible implementation, control sequence optimization based on dynamic priority weights is performed, and the following processing is carried out: setting dynamic priority weights, wherein the dynamic priority weights are defined based on real-time ship power grid quality, reservoir temperature deviation, and frost rate; if it is a multi-defrost mode collaboration, the execution sequence and resource allocation of the defrost control group are performed by quantifying the weight scores based on the dynamic priority weights in real time.

[0012] In a possible implementation, the defrosting execution component is driven and controlled, and the following processes are performed: establishing communication interaction between the first register and the defrosting execution component; generating a first control sequence for the first stage based on the defrosting control parameter group in the first register, wherein the first control sequence carries a spatiotemporal code identifier; generating multiple control instructions based on the first control sequence to perform coordinated control on the defrosting execution component.

[0013] In a possible implementation, after driving and controlling the defrosting execution component, the following processing is performed: after a single defrosting based on the first parameter control sequence, residual frost data and the warehouse temperature recovery curve are collected as real-time defrosting data; the defrosting parameter control group is iteratively optimized based on the real-time defrosting data.

[0014] This application also provides an energy-saving defrosting control system for marine refrigeration equipment, comprising: a dynamic spectrum acquisition module, used to deploy composite sensors at key points on the evaporator surface of the refrigeration equipment to acquire a dynamic spectrum based on frost rate-distribution-morphology; a defrosting parameter control group determination module, used to send the dynamic spectrum to the defrosting control module embedded in the central control unit of the refrigeration equipment, perform target defrosting mode judgment and directional defrosting decision, and determine the defrosting parameter control group, wherein the decision constraint is based on the attitude constraint condition based on the ship's roll angle; and a defrosting management module, used to store the defrosting parameter control group in a register, and drive and manage the defrosting execution components by performing control sequence optimization based on refrigerant planning and dynamic priority weight.

[0015] This application proposes an energy-saving defrosting control method and system for marine refrigeration equipment. First, composite sensors are deployed at key points on the evaporator surface of the refrigeration equipment to acquire dynamic maps based on frost rate, distribution, and morphology. These dynamic maps are then sent to the defrosting control module embedded in the central control unit of the refrigeration equipment. The module performs target defrosting mode judgment and directional defrosting decision-making to determine the defrosting control parameter group. The decision-making is constrained by attitude conditions based on the ship's roll angle. Finally, the defrosting control parameter group is stored in a register. Through control sequence optimization based on refrigerant planning and dynamic priority weights, the defrosting execution components are driven and controlled. The method and system proposed in this application achieve the technical effects of accurately matching the actual evaporator frost state, improving defrosting efficiency, reducing operating energy consumption, and ensuring refrigeration stability. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments of the present invention will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the system according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0017] Figure 1 This is a flowchart illustrating an energy-saving defrosting control method for marine refrigeration equipment provided in an embodiment of this application.

[0018] Figure 2 This is a schematic diagram of the structure of an energy-saving defrosting control system for marine refrigeration equipment provided in an embodiment of this application.

[0019] Figure labeling: Dynamic spectrum acquisition module 10, defrost parameter control group determination module 20, defrost control module 30. Detailed Implementation

[0020] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below.

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] In the following description, references to "some embodiments" describe a subset of all possible embodiments. However, it is understood that "some embodiments" can be the same or different subsets of all possible embodiments and can be combined with each other without conflict. The terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.

[0023] This application provides an energy-saving defrosting control method for marine refrigeration equipment, such as... Figure 1 As shown, the method includes:

[0024] Step S100: Deploy composite sensors at key points on the evaporator surface of the refrigeration equipment to acquire a dynamic map based on frost rate, distribution, and morphology. The key points include the air inlet side, the middle of the fins, and the air outlet side. The composite sensor is a miniature wireless temperature-humidity-imaging type. Based on the composite sensor, perform time-series acquisition and vector distribution conversion of the key points and integrate them into the dynamic map. The vector distribution includes micro-frost layer thickness, frost layer distribution uniformity, and frost crystal morphology.

[0025] Specifically, miniature wireless temperature-humidity-imaging composite sensors are deployed at key points on the evaporator surface of the refrigeration equipment, such as the air inlet side, the middle of the fins, and the air outlet side. These sensors collect data sequentially at these key points and perform vector distribution conversion, integrating the data to obtain a dynamic frost rate-distribution-morphology map that includes microscopic frost thickness, frost distribution uniformity, frost crystal morphology, and frost formation rate. Specifically, at least one set of miniature wireless temperature and humidity sensors and a miniature CMOS imaging module are arranged on each of the evaporator's air inlet side, the middle of the fins, and the air outlet side. The sensors collect temperature and humidity data via I2C or SPI interfaces, and the imaging module captures grayscale images of the frost layer at fixed time intervals, such as every 30 seconds. These images are then transmitted to the central control unit via a wireless module, such as ZigBee or LoRa. The central control unit performs grayscale difference and edge detection on multiple consecutive frames of images at the same location, calculates the pixel thickness of the frost layer and converts it into the actual physical thickness. Based on the difference in the actual physical thickness of the frost layer between two adjacent acquisitions, it divides the difference by the acquisition time interval to calculate the real-time frost rate at the key point. At the same time, it calculates the standard deviation of the frost layer thickness in different areas to obtain the distribution uniformity. It uses morphological algorithms to identify whether the frost crystals are needle-like, flaky, or dense ice crystals. The above data is organized into a dynamic map according to time series and spatial location.

[0026] Step S200: The dynamic map is sent to the defrosting control module embedded in the central control unit of the refrigeration equipment to perform target defrosting mode judgment and directional defrosting decision, and to determine the defrosting control group, wherein the decision constraint is based on the attitude constraint condition of the ship's roll angle.

[0027] Specifically, the dynamic map obtained by S100 is sent to the defrosting control module embedded in the central control unit of the refrigeration equipment. This module performs target defrosting mode judgment and directional defrosting decision-making, using the ship's roll angle as an attitude constraint to ultimately determine the defrosting parameter control group. Specifically, the central control unit writes the dynamic map data into the defrosting control module's dedicated data buffer via CAN bus or Ethernet. The defrosting control module performs pattern matching based on preset frost characteristic thresholds, and simultaneously reads roll and pitch angle data from the ship's attitude sensors, using these as constraints in the decision logic calculation. Through hardware logic gates or conditional branch statements in the embedded software, it selects the target mode from multiple preset defrosting modes and writes the corresponding parameters such as solenoid valve opening, electric heating duty cycle, and fan speed into the defrosting parameter control group. For example, when the frost layer thickness on the air inlet side exceeds 1.0 mm and is unevenly distributed, a local reverse circulation mode is initially selected, and the specific parameters under this mode are determined by combining the constraint that the ship's roll angle is less than 5 degrees.

[0028] In one possible implementation, regarding the defrosting control module, step S200 further includes step S210, deploying multiple defrosting modes, wherein the multiple defrosting modes include local reverse circulation, hot gas bypass combined with refrigerant spraying, and high-frequency pulsed electric heating combined with airflow flushing. Specifically, multiple defrosting modes are deployed in the defrosting control module, including local reverse circulation, hot gas bypass combined with refrigerant spraying, and high-frequency pulsed electric heating combined with airflow flushing. Specifically, the control logic for three defrosting modes is embedded in the defrosting control module's embedded program. Among them, the partial reverse circulation mode corresponds to controlling the solenoid valve of the evaporator section to switch the refrigerant flow direction; the hot gas bypass and cold storage agent spray mode corresponds to controlling the opening of the bypass valve from the compressor outlet to the evaporator inlet and linking the cold storage agent spray pump; and the high-frequency pulse electric heating and airflow flushing mode corresponds to controlling the electric heating element drive circuit on the fins and the fan reverse drive circuit. Each mode is implemented in the program as an independent function or state machine. For example, the partial reverse circulation mode function includes fixed execution steps such as closing the normal refrigeration solenoid valve, opening the reverse circulation branch solenoid valve, delaying for 30 seconds, and restoring the original state.

[0029] Step S220: Deploy a first judgment threshold based on the mode judgment of the multiple defrosting modes. Specifically, a first judgment threshold is set based on the applicable conditions of multiple defrosting modes as a quantitative basis for mode selection. Specifically, a first judgment threshold parameter table is stored in the non-volatile memory of the defrosting control module, such as Flash. The parameter table includes the mapping relationship between frost thickness threshold, distribution uniformity threshold, frost crystal morphology type and corresponding mode. For example, a frost thickness greater than 1.0 mm and a distribution uniformity greater than 0.3 corresponds to a local reverse circulation mode, and a frost thickness of 0.5-1.0 mm and loose frost crystals correspond to a hot gas bypass synergistic cold storage spray mode. When judging the mode, the central control unit directly reads the parameter table, compares the feature values ​​in the dynamic spectrum with the threshold values, and determines the preliminary mode based on the comparison results.

[0030] Step S230: Deploy a defrost decision array according to the multiple defrost modes, wherein the defrost decision array includes multiple defrost decision units corresponding to the multiple defrost modes. Specifically, a defrost decision array containing multiple corresponding defrost decision units is constructed according to the multiple defrost modes, and each decision unit corresponds to the specific execution logic of a mode. Specifically, a parallel decision unit architecture is adopted in the defrost control module, and an independent decision unit is allocated for each defrost mode. Each decision unit includes a mode enable terminal, a parameter input terminal, and an execution command output terminal. Among them, the local reverse loop decision unit is responsible for generating the switching sequence of the corresponding solenoid valve, the hot gas bypass and cold storage spray decision unit is responsible for generating the bypass valve opening degree and spray pump start / stop command, and the high-frequency pulse electrothermal and airflow flushing decision unit is responsible for generating the electrothermal duty cycle and fan speed command. The decision array aggregates the outputs of each decision unit through a bus. For example, when the frost layer is uneven, the local reverse circulation decision-maker is activated and outputs a command to open only the high-frost tube solenoid valve and keep the others closed. When the frost layer is uniform and loose, the hot gas bypass and cold storage agent spray decision-maker outputs a command to open the bypass valve to 50% and operate the spray pump for 10 seconds. When there are dense ice crystals at the fin root, the high-frequency pulse electric heating and airflow flushing decision-maker outputs a command to set the electric heating duty cycle to 30% and the fan reverse speed to 2000 rpm.

[0031] Step S240: Based on the first judgment threshold and the defrost decision array, a defrost control module is constructed. Specifically, the first judgment threshold and the defrost decision array are integrated to form a complete defrost control module, realizing complete control logic from frost condition input to mode output. Specifically, the defrost control module uses an embedded microcontroller, such as the STM32 series, as its core, with peripheral configurations including signal acquisition interfaces, storage units, and drive output interfaces. The microcontroller's internal program uses the first judgment threshold as a comparison condition and the defrost decision array as an execution unit. It receives dynamic spectrum data in real time through an interrupt service routine, selects the corresponding decision-maker after threshold comparison, and then the decision-maker generates control instructions. For example, when dynamic spectrum data enters the microcontroller via an interrupt, the program first compares it with the first judgment threshold. If the local inverse loop condition is met, the local inverse loop decision-maker is called to generate the corresponding solenoid valve control instruction and output it through the GPIO port, thus forming a complete control link from data input to instruction output.

[0032] In one possible implementation, the target defrosting mode judgment and directional defrosting decision are performed to determine the defrosting parameter control group. Step S200 further includes step S250, where the defrosting control module embedded in the central control of the refrigeration equipment receives the dynamic spectrum, performs joint judgment based on vector features, and determines the target defrosting mode, wherein the target defrosting mode is a single defrosting mode or a multi-mode collaborative defrosting mode. Specifically, the defrosting control module receives the dynamic spectrum and performs joint judgment based on vector features such as frost thickness, distribution uniformity, and frost crystal morphology to determine whether the target defrosting mode is a single mode or a multi-mode collaborative mode. Specifically, the defrosting control module inputs the frost thickness, distribution uniformity, and frost crystal morphology in the dynamic spectrum as three-dimensional feature vectors into a preset feature matching logic. This logic calculates the matching degree of each mode using a weighted summation method. For example, the matching degree of the local reverse circulation mode = frost thickness × 0.6 + distribution uniformity × 0.4, and the matching degree of the hot gas bypass collaborative refrigerant spray mode = frost crystal porosity × 0.7 + frost thickness × 0.3. The matching degree of each mode is compared with the threshold. If the matching degree of a single mode is greater than 0.8, it is selected as a single mode. If the matching degree of both modes is between 0.5 and 0.8, it is selected as a multi-mode collaboration.

[0033] Step S260: Acquire the ship's six-degree-of-freedom motion data and determine the ship's roll angle. Specifically, acquire the six-degree-of-freedom motion data from the ship's attitude sensor, extract and calculate the ship's roll and pitch angles to obtain the ship's roll angle. Specifically, read the acceleration and angular velocity data output from the ship's attitude sensor via RS422 or Ethernet interface, perform noise reduction processing on the raw data using a Kalman filter algorithm, and then convert the angular velocity into roll and pitch angles through integration. For example, perform time integration on the roll angular velocity to obtain the roll angle, with an integration period of 10 milliseconds. Finally, obtain the roll angle in degrees, such as a roll angle of 3 degrees and a pitch angle of 2 degrees, which are used as input parameters for attitude constraints.

[0034] Step S270: Based on the target defrosting mode and the ship's roll angle, the defrosting decision array is activated and a decision is made to determine the defrosting control group. Specifically, the defrosting decision array is activated and a decision is made in a targeted manner based on the target defrosting mode and the ship's roll angle to generate the final defrosting control group. Specifically, the defrosting control module selects the corresponding decision maker or decision maker combination according to the target defrosting mode, and simultaneously substitutes the ship's roll angle into preset constraints. For example, when the roll angle is greater than 5 degrees, the upper limit of the fan speed in the high-frequency pulsed electrothermal synergistic airflow scouring mode is reduced; when the pitch angle is greater than 3 degrees, the execution time of the local reverse circulation mode is shortened. The original parameters output by the decision maker are corrected through the constraints, and the corrected parameter combination is stored in the defrosting control group, including the solenoid valve status, electrothermal duty cycle, fan speed, spraying time, etc.

[0035] In one possible implementation, the defrosting decision array is activated and decided based on the target defrosting mode and the ship's roll angle. Step S270 further includes step S271, which explores the interaction between the ship's roll and the evaporator's windward side. Specifically, the interaction between the ship's roll angle and the airflow distribution and frost location on the evaporator's windward side is established. Specifically, by arranging multiple wind speed sensors on the evaporator's windward side, wind speed distribution data at different roll angles are collected. The roll angle is used as the independent variable, and the wind speed deviation at each point on the windward side is used as the dependent variable. A linear regression method is used to fit the interaction model. For example, for every 1 degree increase in roll angle, the wind speed on the left side of the windward side increases by 5%, and the wind speed on the right side decreases by 5%. This model is then embedded in the defrosting control module for attitude constraint conversion calculations.

[0036] Step S272 involves determining the attitude constraints by performing a first-order transformation of the ship's roll angle based on the mutual influence relationship and a second-order transformation based on the target defrosting mode. Specifically, the ship's roll angle is transformed using a first-order transformation based on the mutual influence relationship, followed by a second-order transformation based on the target defrosting mode to obtain the final attitude constraints. Specifically, the ship's roll angle is first substituted into the influence relationship model obtained in step S271 to calculate the wind speed correction coefficient for each region of the evaporator, i.e., the first-order transformation. For example, when the roll angle is 4 degrees, the wind speed correction coefficient on the left side of the windward face is 1.2, and on the right side it is 0.8. Then, according to the target defrosting mode, the wind speed correction coefficient is converted into the constraint value of the defrosting parameters, i.e., the second-order transformation. For example, for the high-frequency pulsed electrothermal synergistic airflow scouring mode, the wind speed correction coefficient is multiplied by the reference fan speed to obtain the constraint speed. For the local reverse circulation mode, the wind speed correction coefficient is converted into the offset of the solenoid valve opening sequence, ultimately obtaining the attitude constraints that include the upper limit of parameters and the timing offset.

[0037] Step S273: Based on the target defrosting mode, the defrosting decision array is activated in a directional manner, and mode-driven decision-making is performed in conjunction with the attitude constraints to generate the defrosting parameter control group. Specifically, the corresponding decision-maker is activated based on the target defrosting mode, and mode-driven decision-making is performed in conjunction with the attitude constraints to generate the final defrosting parameter control group. Specifically, the defrosting control module sets the enable signal of the corresponding decision-maker according to the target defrosting mode. For example, when the hot gas bypass co-current refrigerant spray mode is selected, the enable terminal of the hot gas bypass co-current refrigerant spray decision-maker is set, and the upper limit of parameters and timing offset in the attitude constraints are input to the decision-maker. The decision-maker automatically incorporates constraints when generating control commands, such as ensuring that the fan speed does not exceed the constraint upper limit and the solenoid valve opening time does not exceed the constraint duration. All constrained command parameters are organized into a defrosting parameter control group, including bypass valve opening, spray pump working time, fan speed, and working duration.

[0038] Step S300: The defrost parameter control group is stored in a register, and the defrost execution component is driven and controlled by optimizing the control sequence based on refrigerant planning and dynamic priority weight.

[0039] Specifically, the defrost control parameters are stored in a register, and the defrost execution components are driven and managed through refrigerant planning and dynamic priority weight optimization of the control sequence. Specifically, the defrost control module writes the defrost control parameters into the on-chip RAM register, with the register address fixed starting at 0x20001000. Each parameter occupies 4 bytes, storing the mode number, solenoid valve status, electric heating duty cycle, fan speed, etc., sequentially. Based on the control parameters in the register, the central control unit first performs refrigerant path planning and priority sorting, and then outputs multiple control signals through interfaces such as PWM, GPIO, and serial port to drive the solenoid valve, electric heating element, fan, spray pump, and other execution components, achieving coordinated control.

[0040] In one possible implementation, control sequence optimization based on refrigerant planning is performed. Step S300 further includes step S310, storing the defrost parameter control group in a first register. Before the defrost mode is activated, the pressure balance point after refrigerant migration is predicted based on the real-time operating conditions of the evaporator. Specifically, the defrost control module writes the defrost parameter control group into the first register in parameter order, for example, the mode number occupies 1 byte, the solenoid valve status occupies 1 byte, and the electric heating duty cycle occupies 2 bytes. Simultaneously, real-time operating data such as evaporator inlet pressure, outlet pressure, compressor suction pressure, compressor discharge pressure, evaporator coil temperature, ambient temperature, and refrigerant type are read. The pressure balance point is calculated using a piecewise linear interpolation method based on the refrigerant thermodynamic property table. Specifically, the saturated pressure-temperature data table for the corresponding refrigerant is pre-stored in the Flash memory of the control module, with a saturated pressure value stored every 0.5 degrees Celsius. Based on the real-time temperature of the evaporator coil, the saturated pressure at that temperature is calculated using linear interpolation as the theoretical saturated pressure. Then, considering the influence of the current compressor frequency and fan speed on the pressure, an empirical correction formula is used: Predicted pressure balance point = Theoretical saturated pressure + (Compressor frequency - Reference frequency) × 0.002 MPa / Hz - (Fan speed - Reference speed) × 0.0001 MPa / (r / min).

[0041] Step S320: Based on the pressure balance point, dynamically plan the refrigerant recovery path and flow rate to generate refrigerant planning parameters. Specifically, based on the predicted pressure balance point, dynamically plan the refrigerant recovery path and flow rate to generate refrigerant planning parameters, ensuring stable system pressure during mode switching and preventing compressor liquid slugging. Specifically, the defrost control module calculates the refrigerant recovery valve opening and recovery time using a PID algorithm based on the difference between the pressure balance point and the current actual pressure. For example, when the predicted balance point is 1.0 MPa and the current inlet pressure is 1.2 MPa, the PID outputs a recovery valve opening of 30% and a recovery time of 5 seconds. Simultaneously, based on the evaporator piping layout, select the shortest recovery path, prioritizing the recovery of refrigerant from high-frost areas, and use the recovery valve opening, recovery time, and path selection results as refrigerant planning parameters.

[0042] Step S330: Add the refrigerant planning parameters to the defrost control parameter group. Specifically, the refrigerant planning parameters generated in step S320 are added to the defrost control parameter group to form a complete set of control parameters. Specifically, the defrost control module allocates an extended storage area in the first register, and appends the refrigerant planning parameters sequentially to the original defrost control parameter group. For example, after parameters such as mode number and solenoid valve status, the recovery valve opening degree, recovery time, and path number are stored sequentially. Each parameter also occupies 4 bytes, and the register address is sequentially extended to form a complete defrost control parameter group containing defrost control parameters and refrigerant planning parameters, facilitating unified reading and execution.

[0043] In one possible implementation, control sequence optimization based on dynamic priority weights is performed. Step S300 further includes step S340, setting dynamic priority weights, wherein the dynamic priority weights are defined based on real-time ship grid quality, reservoir temperature deviation, and frost rate. Specifically, dynamic priority weights are defined based on real-time ship grid quality, reservoir temperature deviation, and frost rate for execution ordering during multi-mode coordination. Specifically, a weight calculation formula is preset in the defrosting control module. For example, the dynamic priority weight is calculated as follows: dynamic priority weight = ship power grid quality coefficient × 0.3 + storage temperature deviation coefficient × 0.4 + frost rate coefficient × 0.3. The ship power grid quality coefficient is determined based on the range of power grid voltage fluctuation. The coefficient is 1.0 when the voltage fluctuation is less than 5%, 0.8 when it is 5%-10%, and 0.5 when it is greater than 10%. The storage temperature deviation coefficient is the absolute value of the difference between the actual storage temperature and the set storage temperature divided by 5. For example, the coefficient is 0.4 when the storage temperature deviates by 2 degrees. The frost rate coefficient is the increase in frost thickness per hour divided by 0.5. For example, the coefficient is 0.6 when the increase is 0.3 mm per hour. The dynamic priority weight of each mode is calculated using this formula.

[0044] Step S350: If multiple defrosting modes are used in coordination, the execution sequence and resource allocation of the defrosting control group are optimized by quantifying the weight scores based on the dynamic priority weights in real time. Specifically, in the case of multiple defrosting modes working together, the execution sequence and resource allocation of the defrosting control group are optimized by calculating the weight scores through dynamic priority weights. Specifically, the defrosting control module normalizes the dynamic priority weights of each mode to obtain weight scores. For example, the weight of local reverse circulation is 0.6, and the weight of hot gas bypass coordinated refrigerant spraying is 0.4, so the weight scores are 0.6 and 0.4 respectively. The execution sequence is sorted from high to low according to the weight scores. Modes with higher weights are given priority in allocating resources such as electricity and refrigerant. For example, the local reverse circulation mode is allocated 60% of the electric heating power, and the hot gas bypass coordinated refrigerant spraying mode is allocated 40% of the spray flow. At the same time, the execution time of each mode is adjusted, with higher-weight modes having longer execution times.

[0045] In one possible implementation, the defrosting execution component is driven and controlled. Step S300 further includes step S360, establishing communication interaction between the first register and the defrosting execution component. Specifically, a communication link is established between the first register and defrosting execution components such as the solenoid valve, fan, heating element, and spray pump. Specifically, the defrosting control module connects the first register to the drive circuit via an internal bus. The drive circuit includes a solenoid valve drive chip, a fan frequency converter drive module, a heating PWM drive module, and a spray pump relay drive module. Parameters in the register are sent to the corresponding drive circuits via the bus. For example, the fan speed parameter in the register is sent to the frequency converter drive module via an SPI interface, and the heating duty cycle parameter is directly output to the heating drive circuit via a PWM interface, realizing real-time communication between the register parameters and the execution components.

[0046] Step S370: Based on the defrost parameter control group in the first register, generate the first parameter control sequence for the first stage, wherein the first parameter control sequence carries a spatiotemporal code identifier. Specifically, based on the defrost parameter control group in the first register, generate the first parameter control sequence for the first stage, the sequence containing a spatiotemporal code identifier for timing and position control. Specifically, the defrost control module arranges the parameters in the defrost parameter control group in the execution order to form a parameter control sequence, for example, first performing refrigerant recovery, then activating hot gas bypass, and finally starting the spray system. Add a spatiotemporal code to each sequence item; the time code is the offset of the execution start time relative to the sequence start time, and the space code is the evaporator region number corresponding to the execution component, such as 1 for the inlet side, 2 for the middle, and 3 for the outlet side.

[0047] Step S380: Generate multiple control commands based on the first parameter control sequence to coordinate the control of the defrosting execution components. Specifically, multiple control commands are generated according to the first parameter control sequence to coordinate the control of execution components such as solenoid valves, fans, electric heaters, and spray pumps. Specifically, the defrosting control module parses the time-space code and parameters in the first parameter control sequence, triggering the corresponding command output when the time code arrives. For example, when the time code is 0 milliseconds, a command to open the refrigerant recovery valve to 30% is output; when the time code is 5000 milliseconds, a command to open the hot gas bypass valve to 40% is output. Multiple commands are output in parallel through different hardware interfaces. The solenoid valve command outputs high and low levels through the GPIO port, the fan command sends the speed value through the UART port, the electric heater command outputs the duty cycle through the PWM port, and the spray pump command controls start and stop through relays, achieving synchronous or time-sequential coordinated operation of multiple components.

[0048] In one possible implementation, after driving and controlling the defrosting execution component, step S300 further includes step S390: after a single defrost cycle based on the first parameter control sequence, residual frost data and a storage temperature recovery curve are collected as real-time defrost data. Specifically, after a single defrost cycle, the composite sensor re-collects frost thickness and distribution uniformity data at key points of the evaporator to obtain residual frost data. Simultaneously, the storage temperature is collected every 10 seconds by a storage temperature sensor for 5 minutes to form a storage temperature recovery curve over time. The residual frost data and the storage temperature recovery curve are then packaged into real-time defrost data.

[0049] Step S3100: Based on the real-time defrosting data, iteratively optimize the defrosting parameter control group. Specifically, using the real-time defrosting data, iteratively optimize the parameters in the defrosting parameter control group to improve subsequent defrosting effect and energy efficiency. Specifically, the defrosting control module compares the real-time defrosting data with target values, such as a target residual thickness of less than 0.3 mm and a storage temperature recovery time of less than 3 minutes. If the residual thickness of 0.4 mm is greater than the target value, the execution time or power of the corresponding mode is increased, for example, increasing the electric heating duty cycle from 30% to 35%. If the storage temperature recovery time of 4 minutes is greater than the target value, the total defrosting time is shortened, for example, from 60 seconds to 50 seconds. The optimized parameters are updated to the parameter table in the first register and non-volatile memory to achieve iterative optimization of the defrosting parameter control group. For example, in the next instance of the same type of frost, the optimized electric heating duty cycle of 35% and the total time of 50 seconds are used.

[0050] This application employs a method of deploying composite sensors at key points on the evaporator surface to obtain dynamic maps of frost rate, distribution, and morphology. These dynamic maps are then sent to the defrosting control module embedded in the central control unit. Combined with the ship's roll angle and attitude constraints, the target defrosting mode is determined, and a defrosting control parameter group is established. This group is stored in a register. Through refrigerant planning and dynamic priority weight optimization of the control sequence, the defrosting execution component is driven to complete defrosting control. This solves the technical problem of existing marine refrigeration equipment defrosting control failing to accurately match the actual evaporator frost state, resulting in low defrosting efficiency, high energy consumption, and impacting refrigeration stability. The application achieves the technical effects of accurately matching the actual evaporator frost state, improving defrosting efficiency, reducing operating energy consumption, and ensuring refrigeration stability.

[0051] In the above text, refer to Figure 1 A method for energy-saving defrosting control of marine refrigeration equipment according to an embodiment of the present invention is described in detail. Next, reference will be made to... Figure 2 This invention describes an energy-saving defrosting control system for marine refrigeration equipment according to an embodiment of the present invention.

[0052] An energy-saving defrosting control system for marine refrigeration equipment according to an embodiment of the present invention addresses the technical problems of existing defrosting control systems for marine refrigeration equipment, which fail to accurately match the actual frost state of the evaporator, resulting in low defrosting efficiency, high energy consumption, and compromised refrigeration stability. The system achieves the technical effects of accurately matching the actual frost state of the evaporator, improving defrosting efficiency, reducing operating energy consumption, and ensuring refrigeration stability. The energy-saving defrosting control system for marine refrigeration equipment includes: a dynamic graph acquisition module 10, a defrosting parameter control group determination module 20, and a defrosting control module 30.

[0053] The dynamic map acquisition module 10 is used to deploy composite sensors at key points on the evaporator surface of the refrigeration equipment to acquire dynamic maps based on frost rate, distribution, and morphology. The defrost parameter control group determination module 20 is used to send the dynamic map to the defrost control module embedded in the central control unit of the refrigeration equipment, perform target defrost mode judgment and directional defrost decision, and determine the defrost parameter control group, wherein the decision constraint is based on the attitude constraint condition based on the ship's roll angle. The defrost management module 30 is used to store the defrost parameter control group in a register and drive and manage the defrost execution components by optimizing the control sequence based on refrigerant planning and dynamic priority weight.

[0054] The specific configuration of the dynamic map acquisition module 10 is described in detail below: As mentioned above, the dynamic map acquisition module 10 may further include: the key points include the air inlet side, the middle of the fins and the air outlet side, and the composite sensor is a miniature wireless temperature-humidity-imaging type; according to the composite sensor, the time-series acquisition and vector distribution conversion of the key points are performed and integrated into the dynamic map, wherein the vector distribution includes the micro frost layer thickness, frost layer distribution uniformity and frost crystal morphology.

[0055] The detailed description of the specific configuration of the defrost parameter control group determination module 20 is explained as follows: As described above in the defrost control module, the defrost parameter control group determination module 20 may further include: a multi-defrost mode deployment unit for deploying multiple defrost modes, wherein the multiple defrost modes include local reverse circulation, hot gas bypass combined with cold storage agent spraying, and high-frequency pulse electric heating combined with airflow flushing; a first judgment threshold deployment unit for deploying a first judgment threshold based on the mode judgment of the multiple defrost modes; a defrost decision array deployment unit for deploying a defrost decision array according to the multiple defrost modes, wherein the defrost decision array includes multiple defrost decision units corresponding to the multiple defrost modes; and a defrost control module construction unit for constructing a defrost control module according to the first judgment threshold and the defrost decision array.

[0056] The process includes determining the target defrost mode and making directional defrost decisions to establish a defrost control group. The defrost control group determination module 20 may further include: a joint judgment unit for receiving the dynamic spectrum from the defrost control module embedded in the refrigeration equipment's central control unit, performing a joint judgment based on vector features, and determining the target defrost mode, wherein the target defrost mode is a single defrost mode or a combination of multiple defrost modes; a ship roll angle determination unit for acquiring six-degree-of-freedom motion data of the ship and determining the ship roll angle; and a decision unit for directional activation and decision-making of the defrost decision array based on the target defrost mode and the ship roll angle to determine the defrost control group.

[0057] Specifically, based on the target defrosting mode and the ship's roll angle, the defrosting decision array is activated and decisions are made in a targeted manner. The decision unit may further include: a mutual influence mining subunit for mining the mutual influence relationship between the ship's roll and the evaporator's windward side; an attitude constraint determination subunit for determining attitude constraints by performing a first-order transformation based on the mutual influence relationship and a second-order transformation based on the target defrosting mode on the ship's roll angle; and a mode-driven decision-making subunit for directional activation of the defrosting decision array based on the target defrosting mode, performing mode-driven decisions in conjunction with the attitude constraints, and generating the defrosting parameter control group.

[0058] The specific configuration of the defrost control module 30 is described in detail below: As mentioned above, to optimize the control sequence based on refrigerant planning, the defrost control module 30 may further include: a pressure balance point prediction unit for storing the defrost parameter control group in a first register, and predicting the pressure balance point after refrigerant migration based on the real-time operating conditions of the evaporator before the defrost mode is activated; a refrigerant planning parameter generation unit for dynamically planning the refrigerant recovery path and flow rate according to the pressure balance point, and generating refrigerant planning parameters; and a parameter adding unit for adding the refrigerant planning parameters into the defrost parameter control group.

[0059] The defrosting control module 30, which optimizes the control sequence based on dynamic priority weights, may further include: a dynamic priority weight setting unit for setting dynamic priority weights, wherein the dynamic priority weights are defined based on real-time ship power grid quality, reservoir temperature deviation, and frost rate; and a resource allocation unit for, in the case of multi-defrosting mode collaboration, performing execution sequence and resource allocation for the defrosting control group by real-time quantification of weight scores based on the dynamic priority weights.

[0060] The defrosting control module 30, which drives and manages the defrosting execution component, may further include: a communication interaction establishment unit for establishing communication interaction between the first register and the defrosting execution component; a first parameter control sequence generation unit for generating a first-stage first parameter control sequence based on the defrosting parameter control group in the first register, wherein the first parameter control sequence carries a spatiotemporal code identifier; and a collaborative control unit for generating multiple control instructions based on the first parameter control sequence to collaboratively control the defrosting execution component.

[0061] After driving and controlling the defrosting execution components, the defrosting control module 30 may further include: a real-time defrosting data acquisition unit for collecting residual frost data and warehouse temperature recovery curves after a single defrosting based on the first parameter control sequence, as real-time defrosting data; and an iterative optimization unit for iteratively optimizing the defrosting parameter control group based on the real-time defrosting data.

[0062] The energy-saving defrosting control system for marine refrigeration equipment provided in this embodiment of the invention can execute the energy-saving defrosting control method for marine refrigeration equipment provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0063] Although this application makes various references to certain modules in the system according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0064] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application. In some cases, the actions or steps described in this application can be performed in a different order than that shown in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. An energy-saving defrosting control method for marine refrigeration equipment, characterized in that, The method includes: Composite sensors are deployed at key points on the evaporator surface of refrigeration equipment to acquire dynamic maps based on frost rate, distribution, and morphology; The dynamic graph is sent to the defrosting control module embedded in the central control unit of the refrigeration equipment to perform target defrosting mode judgment and directional defrosting decision, and determine the defrosting control group, wherein the decision constraint is based on the attitude constraint condition based on the ship's roll angle. The defrosting parameter control group is stored in registers, and the defrosting execution component is driven and controlled by optimizing the control sequence based on refrigerant planning and dynamic priority weights.

2. The energy-saving defrosting control method for marine refrigeration equipment as described in claim 1, characterized in that, The key locations include the air inlet side, the middle of the fins, and the air outlet side; the composite sensor is a miniature wireless temperature-humidity-imaging type. Based on the composite sensor, the time-series acquisition and vector distribution conversion of key points are performed and integrated into the dynamic map, wherein the vector distribution includes the micro frost layer thickness, frost layer distribution uniformity and frost crystal morphology.

3. The energy-saving defrosting control method for marine refrigeration equipment as described in claim 1, characterized in that, The defrosting control module includes: Multiple defrosting modes are deployed, including local reverse circulation, hot gas bypass combined with cold storage agent spraying, and high-frequency pulse electric heating combined with airflow flushing. Based on the pattern judgment of the multiple defrosting modes, a first judgment threshold is deployed; According to the multiple defrosting modes, a defrosting decision array is deployed, wherein the defrosting decision array contains multiple defrosting decision units corresponding to the multiple defrosting modes; Based on the first judgment threshold and the defrost decision array, a defrost control module is formed.

4. The energy-saving defrosting control method for marine refrigeration equipment as described in claim 3, characterized in that, Execute target defrosting mode determination and targeted defrosting decision-making, and determine defrosting control groups, including: The defrosting control module embedded in the central control unit of the refrigeration equipment receives the dynamic spectrum, performs joint judgment based on vector features, and determines the target defrosting mode, wherein the target defrosting mode is a single defrosting mode or a combination of multiple defrosting modes. Acquire six-degree-of-freedom motion data of the ship to determine the ship's roll angle; Based on the target defrosting mode and the ship's roll angle, the defrosting decision array is activated and a decision is made to determine the defrosting control group.

5. The energy-saving defrosting control method for marine refrigeration equipment as described in claim 4, characterized in that, Based on the target defrosting mode and the ship's roll angle, the defrosting decision array is activated and a decision is made accordingly, including: The interaction between ship rolling and the windward side of the evaporator was investigated. The attitude constraints are determined by performing a first-order transformation of the ship's roll angle based on the mutual influence relationship and a second-order transformation based on the target defrosting mode. Based on the target defrosting mode, the defrosting decision array is activated in a targeted manner, and mode-driven decision-making is performed in combination with the attitude constraints to generate the defrosting parameter control group.

6. The energy-saving defrosting control method for marine refrigeration equipment as described in claim 1, characterized in that, Perform control sequence optimization based on refrigerant planning, including: The defrost parameter control group is stored in the first register. Before the defrost mode is activated, the pressure balance point after refrigerant migration is predicted based on the real-time operating conditions of the evaporator. Based on the pressure balance point, the refrigerant recovery path and flow rate are dynamically planned to generate refrigerant planning parameters. Add the refrigerant planning parameters to the defrost parameter control group.

7. The energy-saving defrosting control method for marine refrigeration equipment as described in claim 6, characterized in that, Perform control sequence optimization based on dynamic priority weights, including: Set dynamic priority weights, wherein the dynamic priority weights are defined based on real-time ship electrical grid quality, reservoir temperature deviation, and frost rate; If multiple defrosting modes are used in coordination, the execution sequence and resource allocation of the defrosting parameter control group are determined by real-time quantification of the weight scores based on the dynamic priority weights.

8. The energy-saving defrosting control method for marine refrigeration equipment as described in claim 6, characterized in that, Driver management and control of the defrosting execution components, including: Establish communication between the first register and the defrosting execution component; Based on the defrosting parameter control group in the first register, a first parameter control sequence for the first stage is generated, wherein the first parameter control sequence carries a spacetime code identifier. Generate multiple control instructions based on the first parameter control sequence to perform coordinated control on the defrosting execution component.

9. The energy-saving defrosting control method for marine refrigeration equipment as described in claim 8, characterized in that, After implementing driver control for the defrosting execution components, the following is included: After a single defrosting operation based on the first parameter control sequence is completed, residual frost data and warehouse temperature recovery curve are collected as real-time defrosting data. Based on the real-time defrosting data, the defrosting parameter control group is iteratively optimized.

10. An energy-saving defrosting control system for marine refrigeration equipment, characterized in that, The system is used to implement the energy-saving defrosting control method for marine refrigeration equipment according to any one of claims 1-9, the system comprising: The dynamic spectrum acquisition module is used to deploy composite sensors at key points on the evaporator surface of refrigeration equipment to acquire dynamic spectra based on frost rate, distribution, and morphology. The defrost control group determination module is used to send the dynamic spectrum to the defrost control module embedded in the central control of the refrigeration equipment, perform target defrost mode judgment and directional defrost decision, and determine the defrost control group, wherein the decision constraint is based on the attitude constraint condition based on the ship's roll angle. The defrost control module is used to store the defrost parameter control group in registers and drive and control the defrost execution components by optimizing the control sequence based on refrigerant planning and dynamic priority weights.

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