Commercial refrigerator heat exchange module automatic control system intelligently controlled by double electric actuators

Abstract

The invention discloses a commercial refrigerator heat exchange module automatic control system intelligently controlled by double electric actuators, which comprises a data acquisition module, a VPU-24 controller, the double electric actuators and a remote monitoring terminal, and is characterized in that the output end of the data acquisition module is connected with the input end of the VPU-24 controller; the output end of the VPU-24 controller is connected with the double electric actuators and the remote monitoring terminal, and the VPU-24 controller comprises a data receiving module, a data analysis module, a central regulation and control module, a communication unit, a power module, a mode selection module and a display notification module. The output end of the data receiving module is connected with the input end of the data analysis module, the output ends of the data analysis module, the mode selection module and the power module are connected with the input end of the central regulation and control module, and the output end of the central regulation and control module and the display notification module are connected with the input end of the communication unit. The operation level of commercial refrigerators is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of heating control technology, and more specifically to an automatic control system for a commercial refrigerator heat exchange module using intelligent control with dual electric actuators. Background Technology

[0002] Many commercial freezers still use traditional switch controls and simple relay controls, lacking precise temperature and humidity control. Modern commercial freezers generally use microcontrollers as the core control unit, achieving precise control of parameters such as temperature, humidity, and airflow through embedded systems. The sensors used are not very accurate and cannot reflect real-time and accurate changes in temperature and humidity inside the freezer. The freezers have low energy efficiency ratios, resulting in high energy consumption and operating costs. When the operating conditions of the heat exchange module in a commercial freezer change, such as fluctuations in temperature, pressure, and flow rate, the automatic control system may not respond to these changes in time, leading to untimely adjustments and affecting the freezer's cooling effect. Insufficient adjustment precision of the automatic control system may cause large fluctuations in the internal temperature of the freezer, making it impossible to stabilize near the set value, affecting the quality and preservation of stored food.

[0003] Therefore, this invention discloses an automatic control system for the heat exchange module of a commercial refrigerator using intelligent control with dual electric actuators. Summary of the Invention

[0004] To address the shortcomings of the aforementioned technologies, this invention discloses an automatic control system for the heat exchange module of a commercial refrigerator using intelligent control with dual electric actuators. The system receives sensor data and generates control commands through a VPU-24 controller to control the actions of the dual electric actuators. High-precision wide-range adjustment of the heat exchange module of the commercial refrigerator is achieved through a parallel electric actuator valve with two-step characteristics.

[0005] The present invention adopts the following technical solution: A commercial freezer heat exchange module automatic control system employing dual electric actuators for intelligent control includes: The data acquisition module collects pressure, temperature, and flow data of the heat exchange module of the commercial refrigerator through flow meter, temperature sensor, and pressure sensor. The temperature data includes the inlet water temperature and outlet water temperature of the primary network and secondary network, as well as the outdoor ambient temperature. The pressure data includes the supply water pressure and return water pressure of the primary network and secondary network. The flow data includes the circulating water flow of the primary network and secondary network. The VPU-24 controller generates control commands based on received data to control the actions of dual electric actuators. The VPU-24 controller includes a data receiving module, a data analysis module, a central control module, a communication unit, a power supply module, a mode selection module, and a display module. The data receiving module receives data from the commercial refrigerator heat exchange module collected by the data acquisition module. The data analysis module analyzes and processes the received data as a basis for control decisions. The central control module executes control logic and generates control signals to control the dual electric actuators based on the analysis results of the data analysis module. The communication unit is used for communication between the VPU-24 controller and a remote monitoring terminal. The power supply module provides operating power to the VPU-24 controller. The mode selection module selects the operating mode of the commercial refrigerator heat exchange module's automatic control system and selects the electric actuators for adjustment. The display module displays the valve opening degree of the electric actuators. The output of the data receiving module is connected to the input of the data analysis module. The outputs of the data analysis module, mode selection module, and power supply module are connected to the input of the central control module. The output of the central control module and the display module are connected to the input of the communication unit. The dual electric actuator includes two electric actuator valves, which are connected in parallel to achieve stepped flow or pressure output. The electric actuator valves receive control commands from the VPU-24 controller and drive the valve opening degree through the rotation of the electric motor to regulate the flow, pressure and temperature. The remote monitoring terminal receives data from the VPU-24 controller to remotely monitor and manage the heat exchange module of the commercial refrigerator and view the operating status and parameter data of the heating system in real time. The output of the data acquisition module is connected to the input of the VPU-24 controller, and the output of the VPU-24 controller is connected to the dual electric actuators and the remote monitoring terminal.

[0006] As a further technical solution of the present invention, the central control module includes an instruction generation unit, an instruction execution unit, and a feedback adjustment unit. The instruction generation unit generates control instructions to adjust the control quantity based on the real-time status of the commercial refrigerator heat exchange module using a stepped fuzzy control algorithm model. The stepped fuzzy control algorithm model divides the control range into steps according to the control target and adjusts the control quantity according to the current control range step. The instruction execution unit receives the generated control instructions, converts the control instructions into control signals, and sends them to the dual electric actuators to execute the control instructions. The feedback adjustment unit receives feedback signals from sensors, monitors the actual operating status of the commercial refrigerator heat exchange module's automatic control system, compares the feedback signals with preset target values, and adjusts the control instructions according to the comparison results to achieve closed-loop control. The output end of the instruction generation unit is connected to the input end of the instruction execution unit, and the output end of the instruction execution unit is connected to the input end of the feedback adjustment module.

[0007] As a further technical solution of the present invention, the workflow of the stepped fuzzy control algorithm model is as follows: Step (1): Divide the sensor information data of the commercial refrigerator heat exchange module into a stepped range according to the control target. The boundary of each step is determined by a preset threshold. Compare the real-time sensor information data of the commercial refrigerator heat exchange module with the preset threshold to determine the step in which the automatic control system of the commercial refrigerator heat exchange module is located. Step (2): Fuse the multi-sensor data information received by the data acquisition module; The output value of multi-sensor information clustering is calculated for feature information filtering. The calculation formula is as follows: (1) In formula (1), This represents the feature output value of multi-sensor information clustering processing. Indicates the confidence factor of the sensor. This represents the corresponding sensor weighting factor. Indicates the center point of the sensor. For the amount of sensor data, Indicates the number of sensors. For sensor data quality factor; The expression for calculating the fused multi-sensor data is as follows: (2) In formula (2), The weights representing sensor feature information Indicates sensor The accuracy factor, Reliability factor, This represents the data detected by the sensor. This represents the feature output value of multi-sensor information clustering processing. This indicates the output information after fusion. Indicates the number of sensors; Step (3): The input variables are fuzzified and converted into fuzzy quantities in a fuzzy set. The input variables are the multi-sensor information data error and error change rate after fusion, and the output variable is the change in the valve opening of the electric actuator. The fuzzy set of the input variables is as follows: (3) In formula (3), These represent the error and the rate of change of error, respectively. These represent negative large, negative medium, negative small, zero, positive small, positive medium, and positive large, respectively. The output variable fuzzy set is: (4) In formula (4), These represent the changes in opening degree of electric actuators No. 1 and No. 2, respectively. These represent negative large, negative medium, negative small, zero, positive small, positive medium, and positive large, respectively, and are used to indicate the degree to which the valve opening should be increased or decreased. Step (4): Use a membership function to describe the degree of membership of the input data in each step; The membership function expression is: (5) In formula (5), For input data, The center point of the membership function, The width of the membership function. This represents the proportional gain, used to adjust the width of the membership function; Step (5): Establish fuzzy library rules for the ladder to describe the fuzzy relationship between the input and output variables; Step (6): Perform fuzzy reasoning. Based on the input variables of the commercial refrigerator heat exchange module automatic control system and the fuzzy rule base, perform fuzzy reasoning operations, match fuzzy rules through fuzzy logic operations, and calculate the fuzzy quantity of the output variable. Step (7) Defuzzification: Defuzzify the fuzzy quantities of the output variables obtained by fuzzy inference and convert them into control quantities to generate control commands; The defuzzification calculation expression is: (6) In formula (6), Where F is the membership degree, F is the fuzzy quantization value, and n is the number of output variables. As a weighting factor, As the initial input value, The offset coherence coefficient, This is the offset. A constant value between 0 and 1. Used to measure the importance of the initial input value.

[0008] As a further technical solution of the present invention, the display and notification module of the VPU-24 controller displays the valve opening of the two electric actuators through two four-digit digital display tubes. The mode selection module integrates five buttons: fully automatic button, fully automatic operation button, manual button, manual operation button for valve 1, and manual operation button for valve 2. The fully automatic button and the manual button determine the operation mode of the automatic control system of the heat exchange module of the commercial refrigerator. After pressing the manual button, the electric actuator to be adjusted is selected, and the corresponding button is pressed before the selected electric actuator can be adjusted.

[0009] As a further technical solution of the present invention, the dual electric actuator is installed on the primary return water pipeline of the heat exchange module of the commercial refrigerator. The dual electric actuator includes electric actuator valve No. 1 and electric actuator valve No. 2, which adopt a parallel structure to separately control and regulate the valve opening. The valve opening is adjusted in segments according to the control command and the stepped characteristic curve. The electric actuator valve includes a motor, a reducer, a transmission mechanism and a position feedback device. The motor is the power source, which starts and drives the transmission mechanism to perform actions according to the control command. The transmission mechanism converts the rotational motion of the motor into the rotational motion of the valve, thereby changing the valve opening. The reducer reduces the motor speed and increases the torque. The position feedback device is used to monitor the actual valve opening in real time and feed back the actual valve opening information to the VPU-24 controller in the form of an electrical signal.

[0010] As a further technical solution of the present invention, the VPU-24 includes two inputs and two outputs, with an accuracy class of 0.5, and the height, orientation, pitch angle and tilt angle of the matching fixing parts are adjustable.

[0011] As a further technical solution of the present invention, the water temperature steps are divided into: extremely low: water temperature <30℃, low: 30℃≤water temperature <45℃, medium: 45℃≤water temperature <60℃, high: 60℃≤water temperature <75℃, and extremely high: water temperature ≥75℃. The pressure data tiers are divided as follows: extremely low pressure: pressure ≤ 0.1 MPa, at which point it is necessary to check for leaks and perform pressure compensation; low pressure: 0.1 MPa < pressure ≤ 0.4 MPa; medium pressure: 0.4 MPa < pressure ≤ 0.8 MPa; high pressure: 0.8 MPa < pressure ≤ 1.2 MPa; extremely high pressure: pressure > 1.2 MPa. The flow rate tiers are divided as follows: Minimal flow rate: flow rate ≤ 10 m³ / h, Small flow rate: 10 m³ / h < flow rate ≤ 10 m³ / h, Medium flow rate: 50 m³ / h < flow rate ≤ 200 m³ / h, Large flow rate: 200 m³ / h < flow rate ≤ 500 m³ / h, and Maximum flow rate: flow rate > 500 m³ / h.

[0012] Beneficial effects: This invention improves the control capabilities of commercial refrigerators. It collects pressure, temperature, and flow data from the heat exchange module of the commercial refrigerator using flow meters, temperature sensors, and pressure sensors. The temperature data includes the inlet and outlet water temperatures of the primary and secondary networks, as well as the outdoor ambient temperature. The pressure data includes the supply and return water pressures of the primary and secondary networks. The sensor data from the heat exchange module is divided into tiered ranges based on control objectives, with each tier's boundary determined by a preset threshold. The real-time sensor data from the heat exchange module is compared with these preset thresholds to determine the current tier of the automatic control system. The multi-sensor data received by the data acquisition module is fused, and the automatic control capability is improved through data training. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, wherein: Figure 1 This is a diagram illustrating the architecture of an automated control system for a commercial refrigerator heat exchange module using dual electric actuators for intelligent control, as described in this invention. Figure 2 This is a structural diagram of the VPU-24 controller, a commercial refrigerator heat exchange module automatic control system employing dual electric actuators for intelligent control, according to the present invention. Figure 3 This is a structural diagram of the central control module of the automatic control system for the heat exchange module of a commercial refrigerator using intelligent control with dual electric actuators, according to the present invention. Figure 4 This is a flowchart of the step-type fuzzy control algorithm model of an automatic control system for a heat exchange module of a commercial refrigerator using intelligent control with dual electric actuators, according to the present invention. Figure 5 This is an appearance diagram of the VPU-24 control system, a commercial refrigerator heat exchange module automatic control system using dual electric actuators for intelligent control, according to the present invention. Detailed Implementation

[0014] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0015] An automated control system for a commercial refrigerated display case heat exchange module employing dual electric actuators for intelligent control, the system comprising: The data acquisition module collects pressure, temperature, and flow data of the heat exchange module of the commercial refrigerator through flow meter, temperature sensor, and pressure sensor. The temperature data includes the inlet water temperature and outlet water temperature of the primary network and secondary network, as well as the outdoor ambient temperature. The pressure data includes the supply water pressure and return water pressure of the primary network and secondary network. The flow data includes the circulating water flow of the primary network and secondary network. The VPU-24 controller generates control commands based on received data to control the actions of dual electric actuators. The VPU-24 controller includes a data receiving module, a data analysis module, a central control module, a communication unit, a power supply module, a mode selection module, and a display module. The data receiving module receives data from the commercial refrigerator heat exchange module collected by the data acquisition module. The data analysis module analyzes and processes the received data as a basis for control decisions. The central control module executes control logic and generates control signals to control the dual electric actuators based on the analysis results of the data analysis module. The communication unit is used for communication between the VPU-24 controller and a remote monitoring terminal. The power supply module provides operating power to the VPU-24 controller. The mode selection module selects the operating mode of the commercial refrigerator heat exchange module's automatic control system and selects the electric actuators for adjustment. The display module displays the valve opening degree of the electric actuators. The output of the data receiving module is connected to the input of the data analysis module. The outputs of the data analysis module, mode selection module, and power supply module are connected to the input of the central control module. The output of the central control module and the display module are connected to the input of the communication unit. The dual electric actuator includes two electric actuator valves, which are connected in parallel to achieve stepped flow or pressure output. The electric actuator valves receive control commands from the VPU-24 controller and drive the valve opening degree through the rotation of the electric motor to regulate the flow, pressure and temperature. The remote monitoring terminal receives data from the VPU-24 controller to remotely monitor and manage the heat exchange module of the commercial refrigeration unit and view the operating status and parameter data of the heating system in real time. The output of the data acquisition module is connected to the input of the VPU-24 controller, and the output of the VPU-24 controller is connected to the dual electric actuators and the remote monitoring terminal.

[0016] In the above embodiments, the central control module includes an instruction generation unit, an instruction execution unit, and a feedback adjustment unit. The instruction generation unit generates control instructions based on the real-time status of the commercial refrigerator heat exchange module using a stepped fuzzy control algorithm model to adjust the control quantity. The stepped fuzzy control algorithm model divides the control range into steps according to the control target and adjusts the control quantity according to the current control range step. The instruction execution unit receives the generated control instructions, converts them into control signals, and sends them to the dual electric actuators to execute the control instructions. The feedback adjustment unit receives feedback signals from sensors, monitors the actual operating status of the commercial refrigerator heat exchange module's automatic control system, compares the feedback signals with preset target values, and adjusts the control instructions based on the comparison results to achieve closed-loop control. The output of the instruction generation unit is connected to the input of the instruction execution unit, and the output of the instruction execution unit is connected to the input of the feedback adjustment module.

[0017] In the above embodiments, the workflow of the stepped fuzzy control algorithm model is as follows: Step (1): Divide the sensor information data of the commercial refrigerator heat exchange module into a stepped range according to the control target. The boundary of each step is determined by a preset threshold. Compare the real-time sensor information data of the commercial refrigerator heat exchange module with the preset threshold to determine the step in which the automatic control system of the commercial refrigerator heat exchange module is located. Step (2): Fuse the multi-sensor data information received by the data acquisition module; The output value of multi-sensor information clustering is calculated for feature information filtering. The calculation formula is as follows: (1) In formula (1), This represents the feature output value of multi-sensor information clustering processing. Indicates the confidence factor of the sensor. This represents the corresponding sensor weighting factor. Indicates the center point of the sensor. For the amount of sensor data, Indicates the number of sensors. For sensor data quality factor; The expression for calculating the fused multi-sensor data is as follows: (2) In formula (2), The weights representing sensor feature information Indicates sensor The accuracy factor, Reliability factor, This represents the data detected by the sensor. This represents the feature output value of multi-sensor information clustering processing. This indicates the output information after fusion. Indicates the number of sensors; Step (3): The input variables are fuzzified and converted into fuzzy quantities in a fuzzy set. The input variables are the multi-sensor information data error and error change rate after fusion, and the output variable is the change in the valve opening of the electric actuator. The fuzzy set of the input variables is as follows: (3) In formula (3), These represent the error and the rate of change of error, respectively. These represent negative large, negative medium, negative small, zero, positive small, positive medium, and positive large, respectively. The output variable fuzzy set is: (4) In formula (4), These represent the changes in opening degree of electric actuators No. 1 and No. 2, respectively. These represent negative large, negative medium, negative small, zero, positive small, positive medium, and positive large, respectively, and are used to indicate the degree to which the valve opening should be increased or decreased. Step (4): Use a membership function to describe the degree of membership of the input data in each step; The membership function expression is: (5) In formula (5), For input data, The center point of the membership function, The width of the membership function. This represents the proportional gain, used to adjust the width of the membership function; Step (5): Establish fuzzy library rules for the ladder to describe the fuzzy relationship between input and output variables; Step (6): Perform fuzzy reasoning. Based on the input variables of the commercial refrigerator heat exchange module automatic control system and the fuzzy rule base, perform fuzzy reasoning operations, match fuzzy rules through fuzzy logic operations, and calculate the fuzzy quantity of the output variable. Step (7) Defuzzification: Defuzzify the fuzzy quantities of the output variables obtained by fuzzy inference and convert them into control quantities to generate control commands; The defuzzification calculation expression is: (6) In formula (6), Where F is the membership degree, F is the fuzzy quantization value, and n is the number of output variables. As a weighting factor, As the initial input value, The offset coherence coefficient, This is the offset. A constant value between 0 and 1. Used to measure the importance of the initial input value.

[0018] In a specific embodiment, the fusion of multi-sensor data information received by the data acquisition module is called feature layer fusion, which means first extracting feature information from the raw data provided by each sensor, and then performing comprehensive processing and calculation on the feature information.

[0019] In a specific embodiment, the fuzzy control rule base of the step-wise fuzzy control algorithm model is shown in Table 1: Table 1: Fuzzy Control Rule Base

[0020] In a specific embodiment, the standard water supply temperature for the commercial refrigeration unit's heat exchange module is set to 70℃, the temperature difference between the supply and return water is within 10℃, the pressure standard is 0.6 MPa, and the flow rate standard is 150 m³ / h. The temperature sensor detects a supply water temperature of 65℃, the outdoor ambient temperature is -18℃, the pressure sensor detects a pressure of 0.5 MPa, and the flow meter detects a flow rate of 160 m³ / h. Therefore, the water temperature gradient is high, the pressure gradient is medium pressure, and the flow rate gradient is medium flow rate. At this point, the temperature deviation value is... =70℃-65℃=5℃, pressure deviation value =0.6 MPa - 0.5 MPa = 0.1 MPa, Flow error value =150 m³ / h - 160 m³ / h = -10 m³ / h. The control effects of three automated control systems on the heat exchange module of a commercial refrigerator—using a traditional control algorithm with a single electric actuator, using a PLC control cabinet with dual electric actuators, and using a stepped fuzzy control algorithm model with dual electric actuators—are compared. The three systems are denoted as A, B, and C, respectively. The comparison results are shown in Table 1. Table 2: Comparison of Control Effects of Heat Exchange Modules in Commercial Refrigeration Units

[0021] The comparison results in Table 2 show that the step-type fuzzy control algorithm model and the dual-electric actuator automatic control system have more accurate control precision, faster response speed, and lower control error.

[0022] In the above embodiment, the display notification module of the VPU-24 controller displays the valve opening of the two electric actuators through two four-digit digital display tubes. The mode selection module integrates five buttons: fully automatic button, fully automatic operation button, manual button, manual operation button for valve 1, and manual operation button for valve 2. The fully automatic button and the manual button determine the operation mode of the automatic control system of the commercial refrigerator heat exchange module. After pressing the manual button, the electric actuator to be adjusted is selected, and the corresponding button is pressed before the selected electric actuator can be adjusted.

[0023] In a specific embodiment, after pressing the fully automatic or manual button, the VPU-24 controller receives the corresponding button signal and selects the operating mode corresponding to the button signal. When the fully automatic button is pressed, the VPU-24 controller takes over the automatic control equipment, and the entire process is automated. The operator cannot adjust the electric actuator valve. When the manual operation button is pressed, the system switches to manual operation mode. The operator selects the electric operating valve that needs to be adjusted and can adjust the opening degree of the electric operating valve after pressing the corresponding manual operation button.

[0024] In a specific embodiment, electric actuator valve No. 1 and electric actuator valve No. 2 are a large-diameter electric actuator valve and a small-diameter electric actuator valve, respectively. Electric actuator valve No. 1 and electric actuator valve No. 2 work together to achieve wide-range and high-precision regulation. Electric actuator valve No. 1 is mainly responsible for wide-range regulation, with a large stroke range but relatively low precision. Electric actuator valve No. 2 focuses on high-precision regulation, with a smaller stroke range but high precision. Through the control commands generated by the VPU-24 controller, electric actuator valve No. 1 and electric actuator valve No. 2 cooperate to complete the control task. After receiving the control command, electric actuator valve No. 1 first performs a wide-range coarse adjustment. When it approaches the preset target value, electric actuator valve No. 2 begins to intervene for high-precision fine adjustment, avoiding the coupling and interference of the two electric actuator valves operating simultaneously.

[0025] In a specific embodiment, after the dual electric actuators receive the control command sent by the VPU-24 controller through the communication interface, the motor inside the electric actuator valve starts according to the command requirements and drives the transmission mechanism to perform actions. The transmission mechanism converts the rotational motion of the motor into the rotational motion of the valve, thereby changing the valve opening. When the position feedback device detects a change in the valve opening, it feeds back the valve opening information to the VPU-24 controller in the form of an electrical signal. The VPU-24 controller verifies and adjusts the control command based on the feedback information. Closed-loop control of the valve opening is achieved through the coordinated action of the VPU-24 controller and the position feedback device.

[0026] In a specific embodiment, the parameters of the VPU-24 controller are shown in Table 3: Table 3: VPU-24 Controller Parameters

[0027] In the above embodiment, the dual electric actuators are installed on the primary return water pipe of the heat exchange module of the commercial refrigerator. The dual electric actuators include electric actuator valve No. 1 and electric actuator valve No. 2, which adopt a parallel structure to separately control and regulate the valve opening. The valve opening is adjusted in segments according to the control command and the stepped characteristic curve. The electric actuator valve includes a motor, a reducer, a transmission mechanism, and a position feedback device. The motor is the power source, which starts and drives the transmission mechanism to perform actions according to the control command. The transmission mechanism converts the rotational motion of the motor into the rotational motion of the valve, thereby changing the valve opening. The reducer reduces the motor speed and increases the torque. The position feedback device is used to monitor the actual valve opening in real time and feed back the actual valve opening information to the VPU-24 controller in the form of an electrical signal.

[0028] In a specific embodiment, in the central control module of the VPU-24 controller, the feedback adjustment unit continuously receives temperature sensor data, pressure sensor data, and flow meter data from various locations of the commercial refrigerator heat exchange module. After processing the received data, it compares it with the preset control target value. When a deviation is detected, the feedback adjustment unit adjusts the control command of the command generation unit according to the stepped fuzzy control algorithm model. The adjusted control command is then sent to the dual electric actuators through the command execution unit to drive them to perform the corresponding actions, so as to correct the deviation of the automatic control system of the commercial refrigerator heat exchange module and achieve stable control.

[0029] In a specific embodiment, the position feedback device detects the valve's opening position and converts the valve's physical position into an electrical signal. This electrical signal is then transmitted to the display and notification module of the VPU-24 controller. The received electrical signal is filtered and calibrated to ensure the accuracy of the value. After processing, the electrical signal is converted from analog to digital to obtain the specific value of the valve opening. Since the opening range of the electric actuator valve is 0% to 100%, and the four-digit digital display can display values ​​ranging from 0000 to 9999, the actual value of the valve opening is mapped to the range that the four-digit digital display can display using a proportional conversion formula. The converted valve opening value is then sent to the four-digit digital display to control it to display the corresponding value.

[0030] In the above embodiment, the VPU-24 includes two inputs and two outputs, with an accuracy class of 0.5. The height, orientation, pitch angle, and tilt angle of the matching fixing parts are all adjustable.

[0031] In the above embodiments, the water temperature steps are divided into: very low: water temperature < 30℃, low: 30℃ ≤ water temperature < 45℃, medium: 45℃ ≤ water temperature < 60℃, high: 60℃ ≤ water temperature < 75℃, and very high: water temperature ≥ 75℃. The pressure data tiers are divided as follows: extremely low pressure: pressure ≤ 0.1 MPa, at which point it is necessary to check for leaks and perform pressure compensation; low pressure: 0.1 MPa < pressure ≤ 0.4 MPa; medium pressure: 0.4 MPa < pressure ≤ 0.8 MPa; high pressure: 0.8 MPa < pressure ≤ 1.2 MPa; extremely high pressure: pressure > 1.2 MPa. The flow rate tiers are divided as follows: Minimal flow rate: flow rate ≤ 10 m³ / h, Small flow rate: 10 m³ / h < flow rate ≤ 10 m³ / h, Medium flow rate: 50 m³ / h < flow rate ≤ 200 m³ / h, Large flow rate: 200 m³ / h < flow rate ≤ 500 m³ / h, and Maximum flow rate: flow rate > 500 m³ / h.

[0032] In a specific embodiment, when in an extremely low pressure state, it is necessary to check for leaks and replenish the pressure. When in a low pressure state, it means that the heat exchange module of the commercial refrigerator is in a low but normal pressure state, which can meet general heating needs. In a medium pressure state, it can ensure that hot water or steam flows stably in the pipeline in a high-pressure heating scenario.

[0033] While specific embodiments of the present invention have been described above, those skilled in the art should understand that these specific embodiments are merely illustrative. Various omissions, substitutions, and changes can be made to the details of the methods and systems described above without departing from the principles and essence of the present invention. For example, combining the above method steps to perform substantially the same function and achieve substantially the same result using substantially the same method falls within the scope of the present invention. Therefore, the scope of the present invention is defined only by the appended claims.

Claims

1. A self-control system for a commercial refrigerator heat exchange module using intelligent control with dual electric actuators, characterized in that: Include: The data acquisition module collects pressure, temperature, and flow data of the heat exchange module of the commercial refrigerator through flow meter, temperature sensor, and pressure sensor. The temperature data includes the inlet water temperature and outlet water temperature of the primary network and secondary network, as well as the outdoor ambient temperature. The pressure data includes the supply water pressure and return water pressure of the primary network and secondary network. The flow data includes the circulating water flow of the primary network and secondary network. The VPU-24 controller generates control commands based on received data to control the actions of dual electric actuators. The VPU-24 controller includes a data receiving module, a data analysis module, a central control module, a communication unit, a power supply module, a mode selection module, and a display module. The data receiving module receives data from the commercial refrigerator heat exchange module collected by the data acquisition module. The data analysis module analyzes and processes the received data as a basis for control decisions. The central control module executes control logic and generates control signals to control the dual electric actuators based on the analysis results of the data analysis module. The communication unit is used for communication between the VPU-24 controller and a remote monitoring terminal. The power supply module provides operating power to the VPU-24 controller. The mode selection module selects the operating mode of the commercial refrigerator heat exchange module's automatic control system and selects the electric actuators for adjustment. The display module displays the valve opening degree of the electric actuators. The output of the data receiving module is connected to the input of the data analysis module. The outputs of the data analysis module, mode selection module, and power supply module are connected to the input of the central control module. The output of the central control module and the display module are connected to the input of the communication unit. The dual electric actuator includes two electric actuator valves, which are connected in parallel to achieve stepped flow or pressure output. The electric actuator valves receive control commands from the VPU-24 controller and drive the valve opening degree through the rotation of the electric motor to regulate the flow, pressure and temperature. The remote monitoring terminal receives data from the VPU-24 controller to remotely monitor and manage the heat exchange module of the commercial refrigerator and view the operating status and parameter data of the heating system in real time. The output of the data acquisition module is connected to the input of the VPU-24 controller, and the output of the VPU-24 controller is connected to the dual electric actuators and the remote monitoring terminal.

2. The automatic control system for a commercial refrigerator heat exchange module using dual electric actuators for intelligent control as described in claim 1, characterized in that: The central control module includes an instruction generation unit, an instruction execution unit, and a feedback adjustment unit. The instruction generation unit generates control instructions based on the real-time status of the commercial refrigerator's heat exchange module using a stepped fuzzy control algorithm model to adjust the control quantity. This stepped fuzzy control algorithm model divides the control range into steps based on the control target and adjusts the control quantity according to the current control range step. The instruction execution unit receives the generated control instructions, converts them into control signals, and sends them to the dual electric actuators to execute the control instructions. The feedback adjustment unit receives feedback signals from sensors, monitors the actual operating status of the commercial refrigerator's heat exchange module's automatic control system, compares the feedback signals with preset target values, and adjusts the control instructions based on the comparison results to achieve closed-loop control. The output of the instruction generation unit is connected to the input of the instruction execution unit, and the output of the instruction execution unit is connected to the input of the feedback adjustment module.

3. The automatic control system for a commercial refrigerator heat exchange module using dual electric actuators for intelligent control as described in claim 1, characterized in that: The workflow of the stepped fuzzy control algorithm model is as follows: Step (1): Divide the sensor information data of the commercial refrigerator heat exchange module into a stepped range according to the control target. The boundary of each step is determined by a preset threshold. Compare the real-time sensor information data of the commercial refrigerator heat exchange module with the preset threshold to determine the step in which the automatic control system of the commercial refrigerator heat exchange module is located. Step (2): Fuse the multi-sensor data information received by the data acquisition module; The output value of multi-sensor information clustering is calculated for feature information filtering. The calculation formula is as follows: （1） In formula (1), This represents the feature output value of multi-sensor information clustering processing. Indicates the confidence factor of the sensor. This represents the corresponding sensor weighting factor. Indicates the center point of the sensor. For the amount of sensor data, Indicates the number of sensors. For sensor data quality factor; The expression for calculating the fused multi-sensor data is as follows: （2） In formula (2), The weights representing sensor feature information Indicates sensor The accuracy factor, Reliability factor, This represents the data detected by the sensor. This represents the feature output value of multi-sensor information clustering processing. This indicates the output information after fusion. Indicates the number of sensors; Step (3): The input variables are fuzzified and converted into fuzzy quantities in a fuzzy set. The input variables are the multi-sensor information data error and error change rate after fusion, and the output variable is the change in the valve opening of the electric actuator. The fuzzy set of the input variables is as follows: (3) In formula (3), These represent the error and the rate of change of error, respectively. These represent negative large, negative medium, negative small, zero, positive small, positive medium, and positive large, respectively. The output variable fuzzy set is: (4) In formula (4), These represent the changes in opening degree of electric actuators No. 1 and No. 2, respectively. These represent negative large, negative medium, negative small, zero, positive small, positive medium, and positive large, respectively, and are used to indicate the degree to which the valve opening should be increased or decreased. Step (4): Use a membership function to describe the degree of membership of the input data in each step; The membership function expression is: （5） In formula (5), For input data, The center point of the membership function, The width of the membership function. This represents the proportional gain, used to adjust the width of the membership function; Step (5): Establish fuzzy library rules for the ladder to describe the fuzzy relationship between input and output variables; Step (6): Perform fuzzy reasoning. Based on the input variables of the commercial refrigerator heat exchange module automatic control system and the fuzzy rule base, perform fuzzy reasoning operations, match fuzzy rules through fuzzy logic operations, and calculate the fuzzy quantity of the output variable. Step (7) Defuzzification: Defuzzify the fuzzy quantities of the output variables obtained by fuzzy inference and convert them into control quantities to generate control commands; The defuzzification calculation expression is: (6) In formula (6), Where F is the membership degree, F is the fuzzy quantization value, and n is the number of output variables. As a weighting factor, As the initial input value, The offset coherence coefficient, This is the offset. A constant value between 0 and 1. Used to measure the importance of the initial input value.

4. The automatic control system for a commercial refrigerator heat exchange module using dual electric actuators for intelligent control as described in claim 1, characterized in that: The VPU-24 controller's display module uses two four-digit digital display tubes to show the valve opening of the two electric actuators. The mode selection module integrates five buttons: fully automatic button, fully automatic operation button, manual button, manual operation button for valve 1, and manual operation button for valve 2. The fully automatic button and the manual button determine the operating mode of the commercial refrigerator heat exchange module's automatic control system. After pressing the manual button, the electric actuator to be adjusted is selected, and the corresponding button is pressed to adjust the selected electric actuator.

5. The automatic control system for a commercial refrigerator heat exchange module using dual electric actuators for intelligent control as described in claim 1, characterized in that: The dual electric actuators are installed on the primary return water pipe of the heat exchange module of the commercial refrigerator. The dual electric actuators include electric actuator valve No. 1 and electric actuator valve No. 2, which adopt a parallel structure to separately control and regulate the valve opening. The valve opening is adjusted in segments according to the control command and the stepped characteristic curve. The electric actuator valve includes a motor, a reducer, a transmission mechanism, and a position feedback device. The motor is the power source, which starts and drives the transmission mechanism to perform actions according to the control command. The transmission mechanism converts the rotational motion of the motor into the rotational motion of the valve, thereby changing the valve opening. The reducer reduces the motor speed and increases the torque. The position feedback device is used to monitor the actual valve opening in real time and feed back the actual valve opening information to the VPU-24 controller in the form of an electrical signal.

6. The automatic control system for a commercial refrigerator heat exchange module using dual electric actuators for intelligent control as described in claim 1, characterized in that: The VPU-24 includes two inputs and two outputs, with an accuracy class of 0.

5. The height, orientation, pitch angle, and tilt angle of the mounting hardware are all adjustable.

7. The automatic control system for a commercial refrigerator heat exchange module using dual electric actuators for intelligent control as described in claim 3, characterized in that: The water temperature gradient is divided into: very low: water temperature <30℃, low: 30℃≤water temperature <45℃, medium: 45℃≤water temperature <60℃, high: 60℃≤water temperature <75℃, and very high: water temperature ≥75℃. The pressure data tiers are divided as follows: extremely low pressure: pressure ≤ 0.1 MPa, at which point it is necessary to check for leaks and perform pressure compensation; low pressure: 0.1 MPa < pressure ≤ 0.4 MPa; medium pressure: 0.4 MPa < pressure ≤ 0.8 MPa; high pressure: 0.8 MPa < pressure ≤ 1.2 MPa; and extremely high pressure: pressure > 1.2 MPa. The flow rate tiers are divided as follows: Minimal flow rate: flow rate ≤ 10 m³ / h, Small flow rate: 10 m³ / h < flow rate ≤ 10 m³ / h, Medium flow rate: 50 m³ / h < flow rate ≤ 200 m³ / h, Large flow rate: 200 m³ / h < flow rate ≤ 500 m³ / h, and Maximum flow rate: flow rate > 500 m³ / h.

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