Hydraulic control method and system for dry ice production based on multi-sensor cooperation

By using multi-sensor collaborative sensing and intelligent operating condition decision-making, precise matching and dynamic self-adaptation of hydraulic control for dry ice production are achieved, solving the problems of sensor interference and energy consumption in traditional methods and improving the stability and efficiency of dry ice production.

CN122258084APending Publication Date: 2026-06-23HUIZHOU HUA DA TONG GAS MFG CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUIZHOU HUA DA TONG GAS MFG CO LTD
Filing Date
2026-03-25
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing hydraulic control methods for dry ice production lack precise control. Traditional single-sensor data acquisition is easily affected by low-temperature environments. Multi-source sensor data lacks time synchronization processing, leading to parameter coupling interference. Flow and pressure regulation lacks coordinated compensation, making it difficult to balance the stability of forming pressure and the energy consumption of the hydraulic system.

Method used

A multi-sensor collaborative hydraulic control method for dry ice production is adopted. Pressure, position, filling height, flow rate and temperature data are collected in real time through multi-source sensing units and synchronized in time. The intelligent analysis and decision-making unit identifies the working condition stage, calculates the target flow rate and pressure, and generates coordinated adjustment commands for variable pumps, reversing valves and coolers to achieve precise hydraulic control of dry ice raw materials.

Benefits of technology

It improves the stability and consistency of dry ice production, reduces energy consumption and equipment wear, enhances the precision, efficiency and energy utilization of hydraulic control, and avoids energy waste.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The present application relates to the technical field of intelligent dry ice production hydraulic control, a dry ice production hydraulic control method and system based on multi-sensor cooperation, the method comprising: confirming a dry ice production hydraulic control environment based on a dry ice production hydraulic control instruction, performing hydraulic pressure on the dry ice raw material based on a hydraulic cylinder, collecting data based on a multi-source sensing unit, time-synchronizing multi-source information to obtain synchronized multi-source information, analyzing the synchronized multi-source information based on an intelligent analysis and decision unit, calculating a target flow based on a working condition stage, calculating a compensation pressure based on a pipe cross-sectional area and the target flow, performing comparative analysis based on synchronized real-time pressure, synchronized output flow, the target flow and the target pressure, and obtaining a reversing valve control instruction based on the working condition stage. The present application can improve the precision, efficiency, reliability and energy utilization rate of dry ice production hydraulic control.
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Description

Technical Field

[0001] This invention relates to the field of intelligent hydraulic control technology, and in particular to a hydraulic control method and system for dry ice production based on multi-sensor collaboration. Background Technology

[0002] With the expansion of dry ice applications in cold chain transportation, industrial cleaning and other fields, and the increase in industrial production, higher requirements are placed on the precision of dry ice forming density, production line pressure and flow control, and operational stability during the production process. As the core link of dry ice extrusion forming, the control effect of hydraulic control directly determines the quality and efficiency of dry ice production.

[0003] Existing technologies, such as the patent "An Improved Method and Apparatus for Dry Ice Production" (CN201110230718.6), include the following steps: Liquid carbon dioxide is first depressurized and expanded, during which a portion of the liquid carbon dioxide vaporizes, absorbing heat from the unvaporized liquid carbon dioxide, thus lowering its temperature. The depressurized and cooled liquid carbon dioxide is then fed into a dry ice machine, where a buffer tank with an automatically regulating discharge valve further depressurizes and cools the liquid carbon dioxide. However, this method lacks precise control for large-scale industrial production of dry ice and cannot adjust production according to various operating conditions to improve efficiency.

[0004] Existing hydraulic control methods for dry ice production have significant limitations: traditional single-sensor data acquisition is susceptible to interference from low-temperature environments; multi-source sensor data lacks time synchronization processing, easily leading to parameter coupling interference; operating condition determination relies on fixed thresholds, making it unable to adapt to the characteristics of different dry ice raw materials; and flow and pressure regulation lacks coordinated compensation, making it difficult to balance stable forming pressure with hydraulic system energy consumption. Therefore, there is an urgent need for a hydraulic control method for dry ice production that integrates multi-sensor collaboration, multi-parameter time synchronization, and dynamic operating condition determination. Summary of the Invention

[0005] This invention provides a hydraulic control method and system for dry ice production based on multi-sensor collaboration. Its main purpose is to improve the accuracy, efficiency, reliability and energy utilization of hydraulic control in the industrial production of dry ice.

[0006] To achieve the above objectives, the present invention provides a hydraulic control method for dry ice production based on multi-sensor collaboration, comprising: The system confirms receipt of the hydraulic control command for dry ice production and confirms the hydraulic control environment for dry ice production based on the command. The hydraulic control environment includes a hydraulic control system for dry ice production and dry ice raw materials. The hydraulic control system for dry ice production includes a multi-source sensing unit, an intelligent analysis and decision-making unit, and an execution and drive unit. The dry ice raw material is hydraulically pumped using a pre-built hydraulic cylinder, and data is collected using the multi-source sensing unit to obtain multi-source information. The multi-source information is synchronized in time to obtain synchronized multi-source information, which includes synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature. The intelligent analysis and decision-making unit analyzes the synchronous multi-source information to obtain the operating condition stage, which includes a squeezing stage, a pressure holding stage, and a reset stage. The target flow rate is calculated based on the operating condition stage, the pipe cross-sectional area is obtained, the compensation pressure is calculated based on the pipe cross-sectional area and the target flow rate, and the target pressure is calculated based on the compensation pressure. Based on the comparative analysis of the synchronous real-time pressure, synchronous output flow, target flow and target pressure, the variable pump adjustment command is obtained; based on the operating condition stage, the reversing valve control command is obtained; and based on the intelligent analysis and decision unit and the synchronous temperature, the cooler adjustment command is obtained. The pre-constructed controllable device is adjusted based on the execution drive unit, variable pump adjustment command, reversing valve control command, and cooler adjustment command to obtain the adjusted device. Based on the adjusted device, hydraulic control for dry ice production of the dry ice raw material is realized.

[0007] Optionally, the step of acquiring data based on the multi-source sensing unit to obtain multi-source information includes: A data acquisition command is obtained, and the data acquisition command is received based on the multi-source sensing unit, wherein the multi-source sensing unit includes a pressure sensor, a position sensor, an infrared sensor, a flow sensor, and a temperature sensor, and the hydraulic cylinder includes a cylinder chamber and a piston rod. Based on the hydraulic command, the multi-source sensing unit is controlled to perform the following operations: The pressure inside the cylinder chamber is measured based on the pressure sensor to obtain the real-time pressure. The position of the piston rod is obtained by detecting the real-time position of the piston rod based on the position sensor. The filling height of the dry ice is obtained by monitoring the filling height of the dry ice raw material using the infrared sensor. The output flow rate is obtained by measuring the flow rate within the pre-constructed pipe based on the flow sensor. The hydraulic oil temperature is obtained by measuring the real-time temperature of the pre-constructed hydraulic oil based on the temperature sensor. By integrating the real-time pressure, piston rod position, dry ice filling height, output flow rate, and hydraulic oil temperature, multi-source information is obtained.

[0008] Optionally, the step of synchronizing the multi-source information in time to obtain synchronized multi-source information includes: Multiple data collection timestamps are obtained based on the real-time pressure, piston rod position, dry ice filling height, output flow rate, and hydraulic oil temperature. A unified time reference is obtained based on a pre-built system clock. Based on the unified time reference and multiple acquisition timestamps, the real-time pressure, piston rod position, dry ice filling height, output flow rate and hydraulic oil temperature are aligned to obtain synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate and synchronized temperature. By summarizing the synchronous real-time pressure, synchronous piston rod position, synchronous dry ice filling height, synchronous output flow rate, and synchronous temperature, synchronous multi-source information is obtained.

[0009] Optionally, the step of analyzing the synchronous multi-source information based on the intelligent analysis and decision-making unit to obtain the operating condition stage includes: Based on the intelligent analysis and decision-making unit, the maximum stroke threshold of the piston rod, the dry ice filling height threshold, the target pressure threshold of the extrusion stage, and the pressure range of the holding stage are obtained. The synchronous piston rod position and synchronous dry ice filling height are compared with the maximum stroke threshold of the piston rod and the dry ice filling height threshold, respectively. The synchronous real-time pressure is compared with the target pressure threshold of the extrusion stage and the pressure range of the holding stage. If the synchronous piston rod position is less than the maximum stroke threshold of the piston rod, the synchronous dry ice filling height is less than the dry ice filling height threshold, and the synchronous real-time pressure is less than the target pressure threshold of the extrusion stage, then the working condition stage is confirmed as the extrusion stage. If the position of the synchronous piston rod is greater than or equal to the maximum stroke threshold of the piston rod, the synchronous dry ice filling height is greater than or equal to the dry ice filling height threshold, and the synchronous real-time pressure is within the pressure range of the pressure holding stage, then the working condition stage is confirmed as the pressure holding stage. If the operating condition stage is the pressure holding stage, then the pressure holding duration and the piston rod movement direction are obtained. The piston rod movement direction is either the compression direction or the reset direction. If the pressure holding duration reaches a preset pressure holding time threshold and the piston rod movement direction is the reset direction, then the operating condition stage is confirmed as the reset stage.

[0010] Optionally, calculating the target flow rate based on the operating condition stage includes: Obtain the basic hydraulic oil flow rate and optimal oil temperature. If the operating condition stage is the extrusion stage, calculate the target flow rate for the extrusion stage based on the synchronous real-time pressure, synchronous piston rod position, synchronous temperature, piston rod maximum stroke threshold, and extrusion stage target pressure threshold. The calculation formula is as follows: in, This indicates the target flow rate during the squeezing phase. Indicates the basic hydraulic oil flow rate. This indicates the target pressure threshold during the compression phase. Indicates real-time synchronous pressure. Indicates the position of the synchronizing piston rod. This indicates the maximum stroke threshold of the piston rod. Indicates the optimal oil temperature. Indicates synchronous temperature. , and Indicates the weighting coefficient; If the operating condition stage is the pressure holding stage, then the upper limit of the pressure holding pressure is obtained based on the pressure range of the pressure holding stage, and the target flow rate of the pressure holding stage is calculated based on the upper limit of the pressure holding pressure. The target flow rate during the extrusion stage or the target flow rate during the holding stage is taken as the target flow rate.

[0011] Optionally, obtaining the pipe cross-sectional area, calculating the compensation pressure based on the pipe cross-sectional area and the target flow rate, and calculating the target pressure based on the compensation pressure include: Obtain the inner diameter of the pipe, calculate the cross-sectional area of ​​the pipe based on the inner diameter, and calculate the oil flow velocity based on the target flow rate and the cross-sectional area of ​​the pipe. Obtain the total length of the pipeline and the density of the hydraulic oil. Calculate the compensation pressure based on the pipeline inner diameter, oil flow velocity, total pipeline length, and hydraulic oil density. The calculation formula is as follows: in, This indicates the pressure to compensate. Indicates the friction coefficient. Indicates the total length of the pipeline. Indicates the inner diameter of the pipe. Indicates the density of hydraulic oil. Indicates the oil flow rate. This represents the sum of local drag coefficients; If the operating condition stage is the extrusion stage, then the target pressure is calculated based on the compensation pressure and the target pressure threshold of the extrusion stage. If the operating condition stage is the pressure holding stage, then the target pressure is calculated based on the compensation pressure and the upper limit of the pressure holding pressure.

[0012] Optionally, the step of obtaining the variable pump adjustment command based on the comparative analysis of the synchronous real-time pressure, synchronous output flow rate, target flow rate, and target pressure includes: Calculate the flow deviation value based on the synchronous output flow and the target flow, and calculate the pressure deviation value based on the synchronous real-time pressure and the target pressure; The flow deviation value is compared with a preset flow deviation threshold, and the pressure deviation value is compared with a preset pressure deviation threshold. If the flow deviation value is greater than or equal to the flow deviation threshold or the pressure deviation value is greater than or equal to the pressure deviation threshold, the adjustment range is calculated based on the pressure deviation value and the flow deviation threshold. The calculation formula is as follows: in, Indicates adjusting the angle. This indicates the pressure deviation value. Indicates the flow deviation threshold. This indicates the maximum inclination angle of the swashplate. and This represents the deviation weighting coefficient; If the adjustment range is positive, a swashplate tilt increase command is obtained based on the intelligent analysis and decision unit and the adjustment range; if the adjustment range is negative, a swashplate tilt decrease command is obtained based on the intelligent analysis and decision unit and the adjustment range. The swashplate tilt angle increase command or swashplate tilt angle decrease command is used as the variable pump adjustment command.

[0013] Optionally, the step of obtaining the reversing valve control command based on the operating condition stage and obtaining the cooler adjustment command based on the intelligent analysis and decision unit and the synchronous temperature includes: If the operating condition stage is the extrusion stage, the extrusion position command of the reversing valve is obtained based on the intelligent analysis and decision unit; if the operating condition stage is the pressure holding stage, the neutral position holding command of the reversing valve is obtained based on the intelligent analysis and decision unit; if the operating condition stage is the reset stage, the reset position command of the reversing valve is obtained based on the intelligent analysis and decision unit. The reversing valve extrusion position command, the reversing valve neutral position hold command, or the reversing valve reset position command are used as reversing valve control commands. Calculate the oil temperature difference based on the synchronized temperature and the optimal oil temperature; The oil temperature difference is compared with a preset temperature deviation threshold. If the oil temperature difference is greater than or equal to the temperature deviation threshold, a cooler amplification command is obtained based on the intelligent analysis and decision unit. If the oil temperature difference is less than the temperature deviation threshold, a cooler amplitude maintenance command is obtained based on the intelligent analysis and decision unit. The cooler amplification command or the cooler amplitude maintenance command is used as the cooler adjustment command.

[0014] Optionally, the adjustment of the pre-constructed controllable device based on the execution drive unit, variable pump adjustment command, reversing valve control command, and cooler adjustment command to obtain the adjusted device includes: The execution drive unit receives variable pump adjustment commands, reversing valve control commands, and cooler adjustment commands, wherein the controllable device includes a variable pump, a reversing valve, and a cooler; The swashplate tilt angle of the variable pump is adjusted based on the variable pump adjustment command to obtain the adjusted variable pump. The position of the directional valve is adjusted based on the control command of the directional valve to obtain the adjusted directional valve. The operating power of the cooler is adjusted based on the cooler adjustment command to obtain the adjusted cooler; The adjusted variable pump, adjusted reversing valve, and adjusted cooler are combined to obtain the adjusted device.

[0015] To achieve the above objectives, the present invention also provides a hydraulic control system for dry ice production based on multi-sensor collaboration, employing the aforementioned hydraulic control method for dry ice production based on multi-sensor collaboration, comprising: The environment confirmation module confirms receipt of the dry ice production hydraulic control command and confirms the dry ice production hydraulic control environment based on the dry ice production hydraulic control command. The dry ice production hydraulic control environment includes the dry ice production hydraulic control system and dry ice raw materials. The dry ice production hydraulic control system includes a multi-source sensing unit, an intelligent analysis and decision-making unit, and an execution drive unit. The data acquisition module is used to hydraulically pressurize the dry ice raw material based on the pre-built hydraulic cylinder and to acquire data based on the multi-source sensing unit to obtain multi-source information. The multi-source information is synchronized in time to obtain synchronized multi-source information, which includes synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature. The analysis and decision module is used to analyze the synchronous multi-source information based on the intelligent analysis and decision unit to obtain the operating condition stage, wherein the operating condition stage includes a squeezing stage, a pressure holding stage and a reset stage. The target flow rate is calculated based on the operating condition stage, the pipe cross-sectional area is obtained, the compensation pressure is calculated based on the pipe cross-sectional area and the target flow rate, and the target pressure is calculated based on the compensation pressure. Based on the comparative analysis of the synchronous real-time pressure, synchronous output flow, target flow and target pressure, the variable pump adjustment command is obtained; based on the operating condition stage, the reversing valve control command is obtained; and based on the intelligent analysis and decision unit and the synchronous temperature, the cooler adjustment command is obtained. The instruction execution module is used to adjust the pre-constructed controllable device based on the execution drive unit, variable pump adjustment instruction, reversing valve control instruction and cooler adjustment instruction to obtain the adjusted device. Based on the adjusted device, the hydraulic control of dry ice production of the dry ice raw material is realized.

[0016] To address the above problems, the present invention also provides an electronic device, the electronic device comprising: Memory, storing at least one instruction; The processor executes the instructions stored in the memory to implement the aforementioned hydraulic control method for dry ice production based on multi-sensor collaboration.

[0017] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the aforementioned hydraulic control method for dry ice production based on multi-sensor collaboration.

[0018] The intelligent control method and system of the present invention bring the following beneficial effects.

[0019] The method of this invention confirms the receipt of hydraulic control commands for dry ice production, and confirms the hydraulic control environment for dry ice production based on these commands. The hydraulic control environment includes a hydraulic control system and dry ice raw materials. The hydraulic control system includes a multi-source sensing unit, an intelligent analysis and decision-making unit, and an execution drive unit. It is evident that this invention fully considers the complex requirements of multi-parameter coupling, frequent operating condition switching, and precise pressure-flow-temperature matching during the hydraulic control process for dry ice production. Therefore, by confirming the control environment, the organic integration of multi-source collaborative sensing and intelligent decision-making in the system is ensured, providing a reliable foundation for subsequent dynamic adjustment, thereby improving the stability and consistency of industrial dry ice production.

[0020] The dry ice raw material is hydraulically pumped using a pre-built hydraulic cylinder, and data is collected based on the multi-source sensing unit to obtain multi-source information. This invention utilizes multi-source sensors to collect multi-dimensional data such as pressure, position, filling height, flow rate, and temperature in real time, avoiding control deviations caused by single sensor failure or information blind spots. This provides a comprehensive and redundant data foundation for accurate analysis. The multi-source information is then synchronized in time to obtain synchronized multi-source information, including synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature. This invention eliminates the deviation in sampling time between sensors through time synchronization, achieving true multi-source information fusion in an industrial intelligent production line and improving the timing accuracy of subsequent operating condition judgments and parameter calculations.

[0021] Based on the intelligent analysis and decision-making unit, the synchronous multi-source information is analyzed to obtain the operating condition stages, which include a squeezing stage, a pressure holding stage, and a reset stage. The target flow rate is calculated based on the operating condition stages, the pipe cross-sectional area is obtained, the compensation pressure is calculated based on the pipe cross-sectional area and the target flow rate, and the target pressure is calculated based on the compensation pressure. It is evident that this embodiment of the invention introduces an adaptive operating condition identification mechanism, dynamically calculating the target flow rate and compensation pressure according to different stages, achieving precise pressure-flow matching and feedforward compensation, thereby effectively suppressing pressure fluctuations during the squeezing process and energy waste during the pressure holding stage; based on the synchronous real-time pressure, synchronous output flow rate, target flow rate, and target pressure... By conducting comparative analysis, a variable pump adjustment command is obtained. Based on the operating condition stage, a directional valve control command is obtained. Based on the intelligent analysis and decision-making unit and the synchronous temperature, a cooler adjustment command is obtained. It can be seen that the present invention simultaneously generates multi-actuator collaborative commands for the variable pump, directional valve, and cooler, forming a closed-loop multi-parameter joint adjustment, avoiding system mismatch or over-adjustment caused by single actuator adjustment, thereby improving the response speed and control accuracy of the hydraulic system. Based on the execution drive unit, variable pump adjustment command, directional valve control command, and cooler adjustment command, the pre-constructed controllable device is adjusted to obtain the adjusted device. Based on the adjusted device, intelligent control of the hydraulic system for dry ice production of the dry ice raw material is realized.

[0022] In summary, this invention forms a complete dynamic adaptive hydraulic control closed loop through multi-sensor collaborative perception, intelligent working condition decision-making, and real-time linkage of multiple actuators. This not only significantly improves the stability and density of dry ice forming quality but also reduces energy consumption and equipment wear. Therefore, this invention can improve the accuracy, efficiency, reliability, and energy utilization of hydraulic control in dry ice production, saving energy and protecting the environment while avoiding energy waste. Attached Figure Description

[0023] Figure 1 This is a schematic flowchart of a hydraulic control method for dry ice production based on multi-sensor collaboration, provided in an embodiment of the present invention. Figure 2 A functional block diagram of a hydraulic control system for dry ice production based on multi-sensor collaboration provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device for implementing the hydraulic control method for dry ice production based on multi-sensor collaboration, according to an embodiment of the present invention.

[0024] Explanation of reference numerals in the attached figures: 10. Electronic device; 11. Processor; 12. Memory; 13. Bus.

[0025] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0026] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0027] This application provides a hydraulic control method for dry ice production based on multi-sensor collaboration. The executing entity of this method includes, but is not limited to, at least one electronic device configured to execute the method provided in this application, such as a server or a terminal. In other words, the hydraulic control method for dry ice production based on multi-sensor collaboration can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0028] Reference Figure 1 The diagram shown is a schematic flowchart of a hydraulic control method for dry ice production based on multi-sensor collaboration, according to an embodiment of the present invention. In this embodiment, the hydraulic control method for dry ice production based on multi-sensor collaboration includes: S1. Confirm receipt of the dry ice production hydraulic control command, and confirm the dry ice production hydraulic control environment based on the dry ice production hydraulic control command. The dry ice production hydraulic control environment includes the dry ice production hydraulic control system and dry ice raw materials. The dry ice production hydraulic control system includes a multi-source sensing unit, an intelligent analysis and decision-making unit, and an execution drive unit.

[0029] It should be explained that the dry ice production hydraulic control command refers to the instruction issued by the personnel who want to achieve hydraulic control in dry ice production; the dry ice production hydraulic control environment is the necessary environment for achieving hydraulic control in dry ice production; and the dry ice production hydraulic control system refers to a system capable of achieving hydraulic control in dry ice production. The dry ice production hydraulic control system includes a multi-source sensing unit, an intelligent analysis and decision-making unit, and an execution drive unit. For the specific application of these units, please refer to subsequent embodiments. The dry ice raw material refers to solid carbon dioxide powder or granules used in the preparation of dry ice. The purpose of this invention is to improve the energy efficiency and forming quality of dry ice production.

[0030] For example, Xiao Zhang is a worker at a dry ice manufacturing plant. In order to improve the energy efficiency and forming quality of dry ice production, Xiao Zhang issued a hydraulic control command for dry ice production and confirmed the hydraulic control environment for dry ice production.

[0031] S2. The dry ice raw material is hydraulically pumped based on the pre-built hydraulic cylinder, and data is collected based on the multi-source sensing unit to obtain multi-source information.

[0032] Furthermore, the data acquisition based on the multi-source sensing unit to obtain multi-source information includes: A data acquisition command is obtained, and the data acquisition command is received based on the multi-source sensing unit, wherein the multi-source sensing unit includes a pressure sensor, a position sensor, an infrared sensor, a flow sensor, and a temperature sensor, and the hydraulic cylinder includes a cylinder chamber and a piston rod. Based on the hydraulic command, the multi-source sensing unit is controlled to perform the following operations: The pressure inside the cylinder chamber is measured based on the pressure sensor to obtain the real-time pressure. The position of the piston rod is obtained by detecting the real-time position of the piston rod based on the position sensor. The filling height of the dry ice is obtained by monitoring the filling height of the dry ice raw material using the infrared sensor. The output flow rate is obtained by measuring the flow rate within the pre-constructed pipe based on the flow sensor. The hydraulic oil temperature is obtained by measuring the real-time temperature of the pre-constructed hydraulic oil based on the temperature sensor. By integrating the real-time pressure, piston rod position, dry ice filling height, output flow rate, and hydraulic oil temperature, multi-source information is obtained.

[0033] It should be understood that the method of hydraulically pressurizing the dry ice raw material based on the pre-constructed hydraulic cylinder refers to the hydraulic cylinder pressurizing the dry ice raw material through an internal piston rod. The hydraulic cylinder is a device that converts the pressure energy of hydraulic oil into mechanical energy, pushing the piston rod to move linearly and extruding dry ice powder under high pressure. It includes a cylinder chamber and a piston rod. The cylinder chamber is a sealed cavity inside the hydraulic cylinder that contains hydraulic oil and transmits hydraulic pressure. The piston rod is a rod-shaped component that cooperates with the cylinder chamber and converts the pressure energy of the hydraulic oil inside the cylinder chamber into linear mechanical motion.

[0034] The method for obtaining data acquisition commands refers to the periodic issuance of data acquisition commands when the hydraulic cylinder is hydraulically manipulating the dry ice raw material. The data acquisition commands are commands to drive the multi-source sensing unit to acquire data. The multi-source sensing unit is a functional module capable of acquiring various types of data, including a pressure sensor, a position sensor, an infrared sensor, a flow sensor, and a temperature sensor. The method for measuring the pressure inside the cylinder chamber based on the pressure sensor refers to using the pressure sensor to measure the real-time pressure value generated by the hydraulic oil inside the cylinder chamber. The pressure sensor is a device for measuring the pressure value of hydraulic oil; optionally, a strain gauge pressure sensor can be used as the pressure sensor. The real-time pressure refers to the pressure generated by the hydraulic oil inside the cylinder chamber as measured by the pressure sensor. The method for detecting the real-time position of the piston rod based on the position sensor refers to using the position sensor to measure the displacement distance of the piston rod. The piston rod position refers to the position of the piston rod relative to its initial position (the position before hydraulic manipulation) as measured by the position sensor. The position sensor is a device capable of detecting the real-time position of the piston rod; optionally, a magnetostrictive displacement sensor can be used as the position sensor.

[0035] The method for monitoring the filling height of dry ice raw material based on the infrared sensor refers to using the infrared sensor to measure the distance from the top of the dry ice raw material to the bottom of the hydraulic cylinder based on the principle of infrared ranging. The dry ice filling height refers to the straight-line distance from the top of the dry ice raw material to the bottom of the hydraulic cylinder. The infrared sensor is a device capable of measuring the dry ice filling height; optionally, an infrared rangefinder can be used as the infrared sensor. The method for measuring the flow rate in the pre-constructed pipeline based on the flow sensor refers to using the flow sensor to measure and detect the flow rate of hydraulic oil in the pipeline. The output flow rate refers to the hydraulic oil flow rate value detected by the flow sensor in the delivery pipeline. The flow sensor is a device used to detect the hydraulic oil flow rate; optionally, a turbine flow sensor can be used as the flow sensor. The method for measuring the real-time temperature of pre-constructed hydraulic oil based on the temperature sensor refers to measuring the temperature of the hydraulic oil using the temperature sensor. The hydraulic oil temperature refers to the temperature of the hydraulic oil. The temperature sensor refers to a device capable of measuring the temperature of hydraulic oil. Optionally, a thermistor temperature sensor can be used as the temperature sensor. The multi-source information refers to the collection of real-time pressure, piston rod position, dry ice filling height, output flow rate, and hydraulic oil temperature.

[0036] S3. Time synchronization of the multi-source information to obtain synchronized multi-source information, wherein the synchronized multi-source information includes synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature.

[0037] It should be explained that the process of synchronizing the multi-source information in time to obtain synchronized multi-source information includes: Multiple data collection timestamps are obtained based on the real-time pressure, piston rod position, dry ice filling height, output flow rate, and hydraulic oil temperature. A unified time reference is obtained based on a pre-built system clock. Based on the unified time reference and multiple acquisition timestamps, the real-time pressure, piston rod position, dry ice filling height, output flow rate and hydraulic oil temperature are aligned to obtain synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate and synchronized temperature. By summarizing the synchronous real-time pressure, synchronous piston rod position, synchronous dry ice filling height, synchronous output flow rate, and synchronous temperature, synchronous multi-source information is obtained.

[0038] Furthermore, the method of obtaining multiple acquisition timestamps based on the real-time pressure, piston rod position, dry ice filling height, output flow rate, and hydraulic oil temperature refers to extracting the corresponding acquisition completion time from the local clock synchronized with each sensor or the system global clock as the acquisition timestamp each time the multi-source sensing unit completes data acquisition. The multiple acquisition timestamps refer to the set of acquisition times corresponding to each data point (real-time pressure, piston rod position, dry ice filling height, output flow rate, and hydraulic oil temperature), used for subsequent alignment processing. The method of obtaining a unified time reference based on a pre-built system clock refers to obtaining a high-precision, unified global time reference from the central clock source (pre-built system clock) of the dry ice production hydraulic control system. The unified time reference refers to the time reference axis of all sensor data in the entire system, used to eliminate time deviations between different sensors caused by sampling delays or clock drift. The method of performing data alignment processing on the real-time pressure, piston rod position, dry ice filling height, output flow rate, and hydraulic oil temperature based on the unified time reference and multiple acquisition timestamps refers to using linear interpolation or nearest neighbor matching algorithms to map the data of each sensor to the same time point on the unified time reference. The synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature refer to the real-time pressure, piston rod position, dry ice filling height, output flow rate, and hydraulic oil temperature corresponding to a unified time reference after alignment processing. The synchronized multi-source information refers to the data set of synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature.

[0039] S4. Based on the intelligent analysis and decision-making unit, the synchronous multi-source information is analyzed to obtain the operating condition stage, wherein the operating condition stage includes the squeezing stage, the pressure holding stage and the reset stage. The target flow rate is calculated based on the operating condition stage, the pipe cross-sectional area is obtained, the compensation pressure is calculated based on the pipe cross-sectional area and the target flow rate, and the target pressure is calculated based on the compensation pressure.

[0040] It should be understood that the process of analyzing the synchronous multi-source information based on the intelligent analysis and decision-making unit to obtain the operating condition stage includes: Based on the intelligent analysis and decision-making unit, the maximum stroke threshold of the piston rod, the dry ice filling height threshold, the target pressure threshold of the extrusion stage, and the pressure range of the holding stage are obtained. The synchronous piston rod position and synchronous dry ice filling height are compared with the maximum stroke threshold of the piston rod and the dry ice filling height threshold, respectively. The synchronous real-time pressure is compared with the target pressure threshold of the extrusion stage and the pressure range of the holding stage. If the synchronous piston rod position is less than the maximum stroke threshold of the piston rod, the synchronous dry ice filling height is less than the dry ice filling height threshold, and the synchronous real-time pressure is less than the target pressure threshold of the extrusion stage, then the working condition stage is confirmed as the extrusion stage. If the position of the synchronous piston rod is greater than or equal to the maximum stroke threshold of the piston rod, the synchronous dry ice filling height is greater than or equal to the dry ice filling height threshold, and the synchronous real-time pressure is within the pressure range of the pressure holding stage, then the working condition stage is confirmed as the pressure holding stage. If the operating condition stage is the pressure holding stage, then the pressure holding duration and the piston rod movement direction are obtained. The piston rod movement direction is either the compression direction or the reset direction. If the pressure holding duration reaches a preset pressure holding time threshold and the piston rod movement direction is the reset direction, then the operating condition stage is confirmed as the reset stage.

[0041] It should be explained that the method for obtaining the maximum piston rod stroke threshold, dry ice filling height threshold, extrusion stage target pressure threshold, and holding stage pressure range based on the intelligent analysis and decision-making unit refers to querying and extracting the maximum piston rod stroke threshold, dry ice filling height threshold, extrusion stage target pressure threshold, and holding stage pressure range from the preset parameter library of the intelligent analysis and decision-making unit. The parameter library refers to a database storing relevant data (thresholds, ranges), and the relevant data refers to parameters preset based on the inherent properties of the relevant equipment (e.g., the length and diameter of subsequent pipelines) or based on relevant process requirements (e.g., the density and size of dry ice). The maximum piston rod stroke threshold refers to the maximum allowable displacement distance of the hydraulic cylinder piston rod (usually the cylinder barrel's maximum displacement). The dry ice filling height threshold refers to the critical height when the dry ice material in the cylinder chamber is fully filled. The target pressure threshold for the extrusion stage refers to the lower limit of the pressure expected to be reached during the extrusion stage (e.g., 15 MPa). The pressure range for the holding stage refers to the range in which the pressure of the dry ice material is continuously maintained after extrusion to prevent problems such as uneven density and looseness (e.g., 18-22 MPa). If the position of the synchronous piston rod is less than the maximum stroke threshold of the piston rod, the synchronous dry ice filling height is less than the dry ice filling height threshold, and the synchronous real-time pressure is less than the target pressure threshold for the extrusion stage, it indicates that the piston rod of the hydraulic cylinder has not completed the maximum stroke extrusion action, the dry ice material has not been extruded to the preset filling height, and the hydraulic pressure in the cylinder chamber has not reached the pressure requirement of the extrusion stage.

[0042] The extrusion stage refers to the stage where the hydraulic cylinder piston rod continuously applies extrusive force to the dry ice raw material, compressing the dry ice raw material to a preset filling height. If the synchronous piston rod position is greater than or equal to the maximum stroke threshold, the synchronous dry ice filling height is greater than or equal to the dry ice filling height threshold, and the synchronous real-time pressure is within the pressure range of the holding stage, it indicates that the hydraulic cylinder piston rod has completed its maximum stroke extrusion action, the dry ice raw material has been compressed to the preset filling height standard, and the hydraulic pressure in the cylinder chamber has stabilized within the pressure range of the holding stage. The holding stage refers to the stage where the system maintains the hydraulic cylinder pressure within the set pressure range, further stabilizing the dry ice block and eliminating elastic rebound. The holding pressure duration refers to the time from the start of the holding pressure stage to the current moment. The piston rod movement direction refers to the direction in which the piston rod is pushed forward, including the squeezing direction or the reset direction. The squeezing direction refers to the direction in which the piston rod is pushed forward when squeezing, and the reset direction refers to the direction in which the piston rod resets after squeezing and holding pressure. If the holding pressure duration reaches a preset holding pressure duration threshold and the piston rod movement direction is the reset direction, it indicates that dry ice production is complete and the piston rod in the hydraulic cylinder begins to reset. The reset stage refers to the stage in which the piston rod begins to reset after the dry ice production is completed.

[0043] Furthermore, the calculation of the target flow rate based on the operating condition stage includes: Obtain the basic hydraulic oil flow rate and optimal oil temperature. If the operating condition stage is the extrusion stage, calculate the target flow rate for the extrusion stage based on the synchronous real-time pressure, synchronous piston rod position, synchronous temperature, piston rod maximum stroke threshold, and extrusion stage target pressure threshold. The calculation formula is as follows: in, This indicates the target flow rate during the squeezing phase. Indicates the basic hydraulic oil flow rate. This indicates the target pressure threshold during the compression phase. Indicates real-time synchronous pressure. Indicates the position of the synchronizing piston rod. This indicates the maximum stroke threshold of the piston rod. Indicates the optimal oil temperature. Indicates synchronous temperature. , and Indicates the weighting coefficient; If the operating condition stage is the pressure holding stage, then the upper limit of the pressure holding pressure is obtained based on the pressure range of the pressure holding stage, and the target flow rate of the pressure holding stage is calculated based on the upper limit of the pressure holding pressure. The target flow rate during the extrusion stage or the target flow rate during the holding stage is taken as the target flow rate.

[0044] It should be understood that the method for obtaining the basic hydraulic oil flow rate and optimal oil temperature refers to extracting the basic flow rate and recommended hydraulic oil operating temperature of the equipment from the preset parameter library of the intelligent analysis and decision-making unit. The basic hydraulic oil flow rate refers to the minimum flow rate of hydraulic oil set to ensure that the variable pump can normally complete the extrusion of dry ice raw materials. The optimal oil temperature refers to the temperature at which the hydraulic oil maintains its optimal performance (such as viscosity). If the working condition stage is the extrusion stage, the method for calculating the target flow rate of the extrusion stage based on the synchronous real-time pressure, synchronous piston rod position, synchronous temperature, piston rod maximum stroke threshold, and extrusion stage target pressure threshold refers to dynamically adjusting by substituting into the formula. In the formula, the smaller the synchronous real-time pressure, the larger the target flow rate of the extrusion stage because the extrusion stage requires increasing the flow rate to drive the hydraulic cylinder chamber pressure to rise rapidly. The smaller the synchronous piston rod position, the larger the target flow rate of the extrusion stage because the extrusion stage requires increasing the flow rate to drive the piston rod to extrude rapidly. The lower the synchronous temperature, the larger the target flow rate of the extrusion stage because the low temperature of the dry ice raw materials increases the viscosity of the hydraulic oil and the flow resistance, so the flow rate needs to be increased to compensate. The weighting coefficient refers to the coefficient used to adjust the influence of different indicators, and the default value can be 1.2, 0.8, or 0.5. The method of obtaining the upper limit value of the holding pressure based on the pressure range of the holding stage refers to taking the upper limit of the pressure range of the holding stage as the reference pressure. The upper limit value of the holding pressure refers to the upper limit value of the pressure range of the holding stage. The method of calculating the target flow rate of the holding stage based on the upper limit value of the holding pressure refers to first using the upper limit value of the holding pressure to subtract the target pressure threshold of the extrusion stage as the holding pressure correction coefficient, using the optimal oil temperature to subtract the synchronous temperature as the temperature correction coefficient, and then multiplying the basic hydraulic oil flow rate by the holding pressure correction coefficient and the temperature correction coefficient to obtain the target flow rate of the extrusion stage. The target flow rate of the holding stage refers to the low flow rate value that maintains stable pressure.

[0045] It should be explained that obtaining the pipe cross-sectional area, calculating the compensation pressure based on the pipe cross-sectional area and the target flow rate, and calculating the target pressure based on the compensation pressure include: Obtain the inner diameter of the pipe, calculate the cross-sectional area of ​​the pipe based on the inner diameter, and calculate the oil flow velocity based on the target flow rate and the cross-sectional area of ​​the pipe. Obtain the total length of the pipeline and the density of the hydraulic oil. Calculate the compensation pressure based on the pipeline inner diameter, oil flow velocity, total pipeline length, and hydraulic oil density. The calculation formula is as follows: in, This indicates the pressure to compensate. Indicates the friction coefficient. Indicates the total length of the pipeline. Indicates the inner diameter of the pipe. Indicates the density of hydraulic oil. Indicates the oil flow rate. This represents the sum of local drag coefficients; If the operating condition stage is the extrusion stage, then the target pressure is calculated based on the compensation pressure and the target pressure threshold of the extrusion stage. If the operating condition stage is the pressure holding stage, then the target pressure is calculated based on the compensation pressure and the upper limit of the pressure holding pressure.

[0046] Furthermore, the method for calculating the pipe cross-sectional area based on the pipe's inner diameter refers to calculating the pipe's cross-sectional area using the formula for the area of ​​a circular cross-section. The pipe's inner diameter refers to the inner diameter dimension of the hydraulic pipe, and the pipe's cross-sectional area refers to the effective flow cross-section through which hydraulic oil flows. The method for calculating the oil flow velocity based on the target flow rate and the pipe's cross-sectional area refers to calculating the oil flow velocity by subtracting the pipe's cross-sectional area from the target flow rate. The oil flow velocity refers to the average flow velocity of the hydraulic oil in the pipe. The method for obtaining the total pipe length and hydraulic oil density refers to extracting the actual pipe length and current hydraulic oil density from a parameter database. The total pipe length refers to the length of the pipe from the pump to the hydraulic cylinder, and the hydraulic oil density refers to the density value of the oil (e.g., 870 kg / m³). The compensation pressure refers to the pressure loss caused by pipe resistance, used to correct the target pressure. The friction factor along the pipe refers to the friction factor calculated based on the Reynolds number and pipe roughness. The sum of local resistance coefficients refers to the sum of the resistance coefficients of local components such as elbows and valves. Optionally, the local resistance coefficients can be calculated according to the Darcy-Wiesbach equation. If the operating stage is the extrusion stage, the method for calculating the target pressure based on the compensation pressure and the target pressure threshold of the extrusion stage is to add the compensation pressure and the target pressure threshold of the extrusion stage to obtain the target pressure. If the operating stage is the pressure holding stage, the method for calculating the target pressure based on the compensation pressure and the upper limit of the pressure holding stage is to add the compensation pressure and the upper limit of the pressure holding stage to obtain the target pressure. The target pressure refers to the actual pressure required for each stage calculated by combining the target pressure threshold of the extrusion stage, the upper limit of the pressure holding stage, and the compensation pressure.

[0047] For example, if the operating condition is the extrusion stage, the synchronous real-time pressure is 12MPa, the target pressure threshold is 18MPa, the piston rod position is 0.4m, the maximum stroke is 0.8m, the synchronous temperature is 45°C, the optimal oil temperature is 50°C, the basic flow rate is 50L / min, and the weighting coefficients are 1.2, 0.8, and 0.5 respectively, the calculated target flow rate for the extrusion stage is approximately 65L / min; the pipe inner diameter is 20mm, and the calculated pipe cross-sectional area is approximately 3.14cm². Based on the target flow rate for the extrusion stage and the pipe cross-sectional area, the calculated oil velocity is approximately 3.45m / s. The pipe length is 10m, the hydraulic oil density is 870kg / m³, the friction factor is 0.02, and the sum of local resistance coefficients is 1.5, resulting in a calculated compensation pressure of approximately 0.8MPa. Therefore, the target pressure is 18 + 0.8 = 18.8MPa.

[0048] S5. Based on the synchronous real-time pressure, synchronous output flow, target flow and target pressure, a comparative analysis is performed to obtain the variable pump adjustment command, the reversing valve control command is obtained based on the operating condition stage, and the cooler adjustment command is obtained based on the intelligent analysis and decision unit and the synchronous temperature.

[0049] It should be understood that the process of obtaining the variable pump adjustment command based on the comparative analysis of the synchronous real-time pressure, synchronous output flow rate, target flow rate, and target pressure includes: Calculate the flow deviation value based on the synchronous output flow and the target flow, and calculate the pressure deviation value based on the synchronous real-time pressure and the target pressure; The flow deviation value is compared with a preset flow deviation threshold, and the pressure deviation value is compared with a preset pressure deviation threshold. If the flow deviation value is greater than or equal to the flow deviation threshold or the pressure deviation value is greater than or equal to the pressure deviation threshold, the adjustment range is calculated based on the pressure deviation value and the flow deviation threshold. The calculation formula is as follows: in, Indicates adjusting the angle. This indicates the pressure deviation value. Indicates the flow deviation threshold. This indicates the maximum inclination angle of the swashplate. and This represents the deviation weighting coefficient; If the adjustment range is positive, a swashplate tilt increase command is obtained based on the intelligent analysis and decision unit and the adjustment range; if the adjustment range is negative, a swashplate tilt decrease command is obtained based on the intelligent analysis and decision unit and the adjustment range. The swashplate tilt angle increase command or swashplate tilt angle decrease command is used as the variable pump adjustment command.

[0050] It should be explained that the method for calculating the flow deviation value based on the synchronous output flow rate and the target flow rate refers to subtracting the synchronous output flow rate from the target flow rate to obtain the flow deviation value, which is the difference between the current actual output flow rate and the expected target flow rate. The method for calculating the pressure deviation value based on the synchronous real-time pressure and the target pressure refers to subtracting the synchronous real-time pressure from the target pressure to obtain the pressure deviation value, which is the difference between the actual pressure and the expected pressure. The method for comparing the flow deviation value with a preset flow deviation threshold and the method for comparing the pressure deviation value with a preset pressure deviation threshold refer to determining whether the deviation value exceeds the corresponding threshold. The flow deviation threshold and the pressure deviation threshold refer to preset maximum flow rate and pressure deviation, respectively. Furthermore, the flow deviation threshold and the pressure deviation threshold can be obtained through pre-experimentation with controlled variables. That is, under the same conditions, experiments are conducted using different flow deviations and pressure deviations, and the maximum flow deviation and the maximum pressure deviation that do not affect the dry ice forming quality (density, size, etc.) and successfully complete dry ice extrusion are used as the flow deviation threshold and the pressure deviation threshold, respectively. The maximum swashplate angle refers to the maximum angle that the swashplate used to regulate flow in the variable pump can adjust. The swashplate is the component that regulates the output flow rate. The larger the swashplate angle, the greater the hydraulic oil flow rate output by the variable pump per unit time, and vice versa. The deviation weighting coefficient refers to a preset coefficient used for adjustment, such as 1.2 or 0.8. The method of obtaining the swashplate angle increase command based on the intelligent analysis and decision unit and the adjustment range refers to the intelligent analysis and decision unit generating a swashplate angle increase command with a corresponding angle based on the calculated positive adjustment range. The swashplate angle increase command is an execution command used to control the upward adjustment of the swashplate angle of the variable pump, and the swashplate angle increase command contains a specific angle adjustment. If the adjustment range is negative, the method of obtaining the swashplate angle decrease command based on the intelligent analysis and decision unit and the adjustment range refers to the intelligent analysis and decision unit generating a swashplate angle decrease command with a corresponding angle based on the calculated negative adjustment range. The swashplate angle decrease command is an instruction used to control the downward adjustment of the swashplate angle of the variable pump. The variable pump adjustment command refers to the swashplate tilt angle increase command or the swashplate tilt angle decrease command.

[0051] Furthermore, the step of obtaining the reversing valve control command based on the operating condition stage and obtaining the cooler adjustment command based on the intelligent analysis and decision-making unit and the synchronous temperature includes: If the operating condition stage is the extrusion stage, the extrusion position command of the reversing valve is obtained based on the intelligent analysis and decision unit; if the operating condition stage is the pressure holding stage, the neutral position holding command of the reversing valve is obtained based on the intelligent analysis and decision unit; if the operating condition stage is the reset stage, the reset position command of the reversing valve is obtained based on the intelligent analysis and decision unit. The reversing valve extrusion position command, the reversing valve neutral position hold command, or the reversing valve reset position command are used as reversing valve control commands. Calculate the oil temperature difference based on the synchronized temperature and the optimal oil temperature; The oil temperature difference is compared with a preset temperature deviation threshold. If the oil temperature difference is greater than or equal to the temperature deviation threshold, a cooler amplification command is obtained based on the intelligent analysis and decision unit. If the oil temperature difference is less than the temperature deviation threshold, a cooler amplitude maintenance command is obtained based on the intelligent analysis and decision unit. The cooler amplification command or the cooler amplitude maintenance command is used as the cooler adjustment command.

[0052] It should be understood that, if the operating condition stage is the extrusion stage, the method of obtaining the extrusion position command of the directional valve based on the intelligent analysis and decision-making unit means that when the operating condition is the extrusion stage, the intelligent analysis and decision-making unit outputs the extrusion position control signal of the directional valve (usually the solenoid valve energizing direction A) according to preset logic (different stages correspond to different position control signals). The extrusion position command of the directional valve refers to the valve position command that causes hydraulic oil to enter the cylinder chamber and push the piston rod forward. If the operating condition stage is the pressure holding stage, the method of obtaining the neutral position holding command of the directional valve based on the intelligent analysis and decision-making unit means that a neutral position command (solenoid valve de-energized or neutral position held) is output during the pressure holding stage to close the hydraulic oil circuit to maintain pressure. The neutral position holding command of the directional valve refers to the valve position command that maintains stable cylinder chamber pressure. If the operating condition stage is the reset stage, the method of obtaining the reset position command of the directional valve based on the intelligent analysis and decision-making unit means that a reset position command (solenoid valve energizing direction B) is output during the reset stage to cause the hydraulic oil to flow in the reverse direction and push the piston rod back. The reset position command of the directional valve refers to the valve position command that resets the piston rod. The directional valve control commands refer to the directional valve extrusion position command, directional valve neutral position hold command, or directional valve reset position command determined based on the actual temperature. The method for calculating the oil temperature difference based on the synchronous temperature and optimal oil temperature involves subtracting the optimal oil temperature from the synchronous temperature to obtain the oil temperature difference. This oil temperature difference refers to the deviation between the actual hydraulic oil temperature and the ideal temperature, used to determine whether overheating is required. The method for comparing the oil temperature difference with a preset temperature deviation threshold determines whether the deviation exceeds the allowable range. The preset temperature deviation threshold is the upper limit of allowable temperature fluctuation of the hydraulic oil (e.g., ±5°C). If it is greater than or equal to the threshold, it indicates overheating, requiring an increase in cooling power; if it is less than the threshold, it indicates normal temperature, maintaining the current power. The cooler amplification command refers to a control signal that increases cooler power (e.g., increases fan speed), and the cooler power maintenance command refers to a command that maintains the current cooler power.

[0053] S6. Based on the execution drive unit, variable pump adjustment command, reversing valve control command and cooler adjustment command, the pre-constructed controllable device is adjusted to obtain the adjusted device. Based on the adjusted device, the hydraulic control of dry ice production of the dry ice raw material is realized.

[0054] It should be explained that the adjustment of the pre-constructed controllable device based on the execution drive unit, variable pump adjustment command, reversing valve control command, and cooler adjustment command to obtain the adjusted device includes: The execution drive unit receives variable pump adjustment commands, reversing valve control commands, and cooler adjustment commands, wherein the controllable device includes a variable pump, a reversing valve, and a cooler; The swashplate tilt angle of the variable pump is adjusted based on the variable pump adjustment command to obtain the adjusted variable pump. The position of the directional valve is adjusted based on the control command of the directional valve to obtain the adjusted directional valve. The operating power of the cooler is adjusted based on the cooler adjustment command to obtain the adjusted cooler; The adjusted variable pump, adjusted reversing valve, and adjusted cooler are combined to obtain the adjusted device.

[0055] Furthermore, the method of receiving variable pump adjustment commands, directional valve control commands, and cooler adjustment commands based on the execution drive unit refers to the execution drive unit acting as a low-level control actuator, receiving command signals from the intelligent analysis and decision-making unit in real time, and directly mapping these commands to the drive interface of the corresponding controllable device. The execution drive unit refers to a functional module integrating an amplifier, servo controller, and I / O module, used to convert upper-level decision signals into physical execution actions. The controllable device refers to a device that the system can regulate using corresponding commands, including a variable pump, a directional valve, and a cooler. The directional valve and cooler refer to the controllable device for switching the hydraulic oil flow direction and the controllable device for adjusting the hydraulic oil temperature in the dry ice production hydraulic control system, respectively. The method of adjusting the swashplate angle of the variable pump based on the variable pump adjustment command refers to the execution drive unit converting the variable pump adjustment command into a control signal for a servo motor or proportional valve, driving the swashplate of the variable pump to adjust its angle. The adjusted variable pump refers to a variable pump whose swashplate angle has been dynamically corrected.

[0056] The method of adjusting the position of the reversing valve based on the control command of the reversing valve refers to the execution drive unit switching the corresponding electromagnet coil on and off according to the control command of the reversing valve, so as to switch the reversing valve to the extrusion position, the neutral position holding position, or the reset position. The adjusted reversing valve refers to the reversing valve whose position has been switched to the required position for the current working condition. The method of adjusting the operating power of the cooler based on the adjustment command of the cooler refers to the execution drive unit converting the cooler adjustment command into a control signal of the frequency converter or relay, adjusting the speed of the cooler fan or the power of the cooling water pump to change the heat dissipation capacity. The adjusted cooler refers to the cooler whose operating power has been optimized. The adjusted device refers to the combination of the adjusted variable pump, the adjusted reversing valve, and the adjusted cooler.

[0057] To address the problems described in the background art, this invention confirms the receipt of hydraulic control commands for dry ice production and, based on these commands, confirms the hydraulic control environment for dry ice production. This environment includes a hydraulic control system and dry ice raw materials. The hydraulic control system comprises a multi-source sensing unit, an intelligent analysis and decision-making unit, and an execution drive unit. Therefore, this invention fully considers the complex requirements of multi-parameter coupling, frequent operating condition switching, and precise pressure-flow-temperature matching during the hydraulic control process for dry ice production. By confirming the control environment, the organic integration of multi-source collaborative sensing and intelligent decision-making is ensured, providing a reliable foundation for subsequent dynamic adjustment and thereby improving the stability and consistency of dry ice production.

[0058] The dry ice raw material is hydraulically pumped using a pre-built hydraulic cylinder, and data is collected based on the multi-source sensing unit to obtain multi-source information. This invention utilizes multi-source sensors to collect multi-dimensional data such as pressure, position, filling height, flow rate, and temperature in real time, avoiding control deviations caused by single sensor failure or information blind spots. This provides a comprehensive and redundant data foundation for accurate analysis. The multi-source information is then synchronized in time to obtain synchronized multi-source information, including synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature. This invention eliminates the deviation in sampling time between sensors through time synchronization, achieving true multi-source information fusion, thereby improving the timing accuracy of subsequent condition judgments and parameter calculations.

[0059] Based on the intelligent analysis and decision-making unit, the synchronous multi-source information is analyzed to obtain the operating condition stages, which include a squeezing stage, a pressure holding stage, and a reset stage. The target flow rate is calculated based on the operating condition stages, and the pipe cross-sectional area is obtained. The compensation pressure is calculated based on the pipe cross-sectional area and the target flow rate, and the target pressure is calculated based on the compensation pressure. It is evident that this embodiment of the invention introduces an adaptive operating condition identification mechanism, dynamically calculating the target flow rate and compensation pressure according to different stages, achieving precise pressure-flow matching and feedforward compensation, thereby effectively suppressing pressure fluctuations during the squeezing process and energy waste during the pressure holding stage. Based on a comparative analysis of the synchronous real-time pressure, synchronous output flow rate, target flow rate, and target pressure, a variable pump adjustment command is obtained. A reversing valve control command is obtained based on the operating condition stages, and a cooling valve control command is obtained based on the intelligent analysis and decision-making unit and the synchronous temperature. The invention generates multi-actuator coordination commands for the variable pump, directional valve, and cooler simultaneously, forming a closed-loop multi-parameter joint adjustment. This avoids system mismatch or over-adjustment caused by single actuator adjustment, thereby improving the response speed and control accuracy of the hydraulic system. Based on the execution drive unit, variable pump adjustment commands, directional valve control commands, and cooler adjustment commands, the pre-constructed controllable device is adjusted to obtain the adjusted device. Based on the adjusted device, hydraulic control for dry ice production of the dry ice raw material is realized. It can be seen that the invention forms a complete dynamic adaptive hydraulic control closed loop through multi-sensor collaborative perception, intelligent working condition decision-making, and real-time linkage of multiple actuators. This not only significantly improves the stability and density of dry ice forming quality but also reduces energy consumption and equipment wear. Therefore, the invention can improve the accuracy, efficiency, reliability, and energy utilization of hydraulic control in dry ice production.

[0060] like Figure 2 The diagram shown is a functional block diagram of a hydraulic control system for dry ice production based on multi-sensor collaboration, provided in an embodiment of the present invention.

[0061] The multi-sensor collaborative hydraulic control system 100 for dry ice production described in this invention can be installed in an electronic device. Depending on the functions implemented, the multi-sensor collaborative hydraulic control system 100 for dry ice production may include an environmental verification module 101, a data acquisition module 102, an analysis and decision-making module 103, and an instruction execution module 104. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and are stored in the memory of the electronic device.

[0062] The environment confirmation module 101 confirms receipt of the dry ice production hydraulic control command and confirms the dry ice production hydraulic control environment based on the dry ice production hydraulic control command. The dry ice production hydraulic control environment includes the dry ice production hydraulic control system and dry ice raw materials. The dry ice production hydraulic control system includes a multi-source sensing unit, an intelligent analysis and decision-making unit, and an execution drive unit. The data acquisition module 102 is used to hydraulically pressurize the dry ice raw material based on the pre-built hydraulic cylinder and to acquire data based on the multi-source sensing unit to obtain multi-source information. The multi-source information is synchronized in time to obtain synchronized multi-source information, which includes synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature. The analysis and decision module 103 is used to analyze the synchronous multi-source information based on the intelligent analysis and decision unit to obtain the working condition stage, wherein the working condition stage includes a squeezing stage, a pressure holding stage and a reset stage, calculate the target flow rate based on the working condition stage, obtain the pipe cross-sectional area, calculate the compensation pressure based on the pipe cross-sectional area and the target flow rate, and calculate the target pressure based on the compensation pressure. Based on the comparative analysis of the synchronous real-time pressure, synchronous output flow, target flow and target pressure, the variable pump adjustment command is obtained; based on the operating condition stage, the reversing valve control command is obtained; and based on the intelligent analysis and decision unit and the synchronous temperature, the cooler adjustment command is obtained. The instruction execution module 104 is used to adjust the pre-constructed controllable device based on the execution drive unit, variable pump adjustment instruction, reversing valve control instruction and cooler adjustment instruction to obtain the adjusted device. Based on the adjusted device, the hydraulic control of dry ice production of the dry ice raw material is realized.

[0063] In detail, the modules in the multi-sensor collaborative dry ice production hydraulic control system 100 described in this embodiment of the invention employ the same methods as described above. Figure 1 The method used is the same as the hydraulic control method for dry ice production based on multi-sensor collaboration described in the article, and can produce the same technical effect, so it will not be repeated here.

[0064] like Figure 3 The diagram shown is a structural schematic of an electronic device for implementing a hydraulic control method for dry ice production based on multi-sensor collaboration, according to an embodiment of the present invention.

[0065] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for a hydraulic control method for dry ice production based on multi-sensor collaboration.

[0066] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as the portable hard drive of the electronic device 1. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of a hydraulic control method program for dry ice production based on multi-sensor collaboration, but also to temporarily store data that has been output or will be output.

[0067] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., a hydraulic control method program for dry ice production based on multi-sensor collaboration) and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0068] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0069] Figure 3 Only electronic devices with components are shown; those skilled in the art will understand that... Figure 3The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0070] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0071] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0072] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0073] The program for the hydraulic control method for dry ice production based on multi-sensor collaboration, stored in the memory 11 of the electronic device 1, is a combination of multiple instructions. When run in the processor 10, it can achieve the following: The system confirms receipt of the hydraulic control command for dry ice production and confirms the hydraulic control environment for dry ice production based on the command. The hydraulic control environment includes a hydraulic control system for dry ice production and dry ice raw materials. The hydraulic control system for dry ice production includes a multi-source sensing unit, an intelligent analysis and decision-making unit, and an execution and drive unit. The dry ice raw material is hydraulically pumped using a pre-built hydraulic cylinder, and data is collected using the multi-source sensing unit to obtain multi-source information. The multi-source information is synchronized in time to obtain synchronized multi-source information, which includes synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature. Based on the intelligent analysis and decision-making unit, the synchronous multi-source information is analyzed to obtain the operating condition stage, which includes the extrusion stage, the pressure holding stage and the reset stage. The target flow rate is calculated based on the operating condition stage, the pipe cross-sectional area is obtained, the compensation pressure is calculated based on the pipe cross-sectional area and the target flow rate, and the target pressure is calculated based on the compensation pressure. Based on the comparative analysis of the synchronous real-time pressure, synchronous output flow, target flow and target pressure, the variable pump adjustment command is obtained; based on the operating condition stage, the reversing valve control command is obtained; and based on the intelligent analysis and decision unit and the synchronous temperature, the cooler adjustment command is obtained. The pre-constructed controllable device is adjusted based on the execution drive unit, variable pump adjustment command, reversing valve control command, and cooler adjustment command to obtain the adjusted device. Based on the adjusted device, hydraulic control for dry ice production of the dry ice raw material is realized.

[0074] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0075] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following: The system confirms receipt of the hydraulic control command for dry ice production and confirms the hydraulic control environment for dry ice production based on the command. The hydraulic control environment includes a hydraulic control system for dry ice production and dry ice raw materials. The hydraulic control system for dry ice production includes a multi-source sensing unit, an intelligent analysis and decision-making unit, and an execution and drive unit. The dry ice raw material is hydraulically pumped using a pre-built hydraulic cylinder, and data is collected using the multi-source sensing unit to obtain multi-source information. The multi-source information is synchronized in time to obtain synchronized multi-source information, which includes synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature. Based on the intelligent analysis and decision-making unit, the synchronous multi-source information is analyzed to obtain the operating condition stage, which includes the extrusion stage, the pressure holding stage and the reset stage. The target flow rate is calculated based on the operating condition stage, the pipe cross-sectional area is obtained, the compensation pressure is calculated based on the pipe cross-sectional area and the target flow rate, and the target pressure is calculated based on the compensation pressure. Based on the comparative analysis of the synchronous real-time pressure, synchronous output flow, target flow and target pressure, the variable pump adjustment command is obtained; based on the operating condition stage, the reversing valve control command is obtained; and based on the intelligent analysis and decision unit and the synchronous temperature, the cooler adjustment command is obtained. The pre-constructed controllable device is adjusted based on the execution drive unit, variable pump adjustment command, reversing valve control command, and cooler adjustment command to obtain the adjusted device. Based on the adjusted device, hydraulic control for dry ice production of the dry ice raw material is realized.

[0076] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0077] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0078] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0079] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

Claims

1. A hydraulic control method for dry ice production based on multi-sensor collaboration, characterized in that, The method includes: The system confirms receipt of the hydraulic control command for dry ice production and confirms the hydraulic control environment for dry ice production based on the command. The hydraulic control environment includes a hydraulic control system for dry ice production and dry ice raw materials. The hydraulic control system for dry ice production includes a multi-source sensing unit, an intelligent analysis and decision-making unit, and an execution and drive unit. The dry ice raw material is hydraulically pumped using a pre-built hydraulic cylinder, and data is collected using the multi-source sensing unit to obtain multi-source information. The multi-source information is synchronized in time to obtain synchronized multi-source information, which includes synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature. The intelligent analysis and decision-making unit analyzes the synchronous multi-source information to obtain the operating condition stage, which includes a squeezing stage, a pressure holding stage, and a reset stage. The target flow rate is calculated based on the operating condition stage, the pipe cross-sectional area is obtained, the compensation pressure is calculated based on the pipe cross-sectional area and the target flow rate, and the target pressure is calculated based on the compensation pressure. Based on the comparative analysis of the synchronous real-time pressure, synchronous output flow, target flow and target pressure, the variable pump adjustment command is obtained; based on the operating condition stage, the reversing valve control command is obtained; and based on the intelligent analysis and decision unit and the synchronous temperature, the cooler adjustment command is obtained. The pre-constructed controllable device is adjusted based on the execution drive unit, variable pump adjustment command, reversing valve control command, and cooler adjustment command to obtain the adjusted device. Based on the adjusted device, hydraulic control for dry ice production of the dry ice raw material is realized.

2. The hydraulic control method for dry ice production based on multi-sensor collaboration as described in claim 1, characterized in that, The data acquisition based on the multi-source sensing unit to obtain multi-source information includes: A data acquisition command is obtained, and the data acquisition command is received based on the multi-source sensing unit, wherein the multi-source sensing unit includes a pressure sensor, a position sensor, an infrared sensor, a flow sensor, and a temperature sensor, and the hydraulic cylinder includes a cylinder chamber and a piston rod. Based on the hydraulic command, the multi-source sensing unit is controlled to perform the following operations: The pressure inside the cylinder chamber is measured based on the pressure sensor to obtain the real-time pressure. The position of the piston rod is obtained by detecting the real-time position of the piston rod based on the position sensor. The filling height of the dry ice is obtained by monitoring the filling height of the dry ice raw material using the infrared sensor. The output flow rate is obtained by measuring the flow rate within the pre-constructed pipe based on the flow sensor. The hydraulic oil temperature is obtained by measuring the real-time temperature of the pre-constructed hydraulic oil based on the temperature sensor. By integrating the real-time pressure, piston rod position, dry ice filling height, output flow rate, and hydraulic oil temperature, multi-source information is obtained.

3. The hydraulic control method for dry ice production based on multi-sensor collaboration as described in claim 2, characterized in that, The step of synchronizing the multi-source information in time to obtain synchronized multi-source information includes: Multiple data collection timestamps are obtained based on the real-time pressure, piston rod position, dry ice filling height, output flow rate, and hydraulic oil temperature. A unified time reference is obtained based on a pre-built system clock. Based on the unified time reference and multiple acquisition timestamps, the real-time pressure, piston rod position, dry ice filling height, output flow rate and hydraulic oil temperature are aligned to obtain synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate and synchronized temperature. By summarizing the synchronous real-time pressure, synchronous piston rod position, synchronous dry ice filling height, synchronous output flow rate, and synchronous temperature, synchronous multi-source information is obtained.

4. The hydraulic control method for dry ice production based on multi-sensor collaboration as described in claim 1, characterized in that, The process of analyzing the synchronous multi-source information based on the intelligent analysis and decision-making unit to obtain the operating condition stage includes: Based on the intelligent analysis and decision-making unit, the maximum stroke threshold of the piston rod, the dry ice filling height threshold, the target pressure threshold of the extrusion stage, and the pressure range of the holding stage are obtained. The synchronous piston rod position and synchronous dry ice filling height are compared with the maximum stroke threshold of the piston rod and the dry ice filling height threshold, respectively. The synchronous real-time pressure is compared with the target pressure threshold of the extrusion stage and the pressure range of the holding stage. If the synchronous piston rod position is less than the maximum stroke threshold of the piston rod, the synchronous dry ice filling height is less than the dry ice filling height threshold, and the synchronous real-time pressure is less than the target pressure threshold of the extrusion stage, then the working condition stage is confirmed as the extrusion stage. If the position of the synchronous piston rod is greater than or equal to the maximum stroke threshold of the piston rod, the synchronous dry ice filling height is greater than or equal to the dry ice filling height threshold, and the synchronous real-time pressure is within the pressure range of the pressure holding stage, then the working condition stage is confirmed as the pressure holding stage. If the operating condition stage is the pressure holding stage, then the pressure holding duration and the piston rod movement direction are obtained. The piston rod movement direction is either the compression direction or the reset direction. If the pressure holding duration reaches a preset pressure holding time threshold and the piston rod movement direction is the reset direction, then the operating condition stage is confirmed as the reset stage.

5. The hydraulic control method for dry ice production based on multi-sensor collaboration as described in claim 4, characterized in that, The calculation of the target flow rate based on the operating condition stage includes: Obtain the basic hydraulic oil flow rate and optimal oil temperature. If the operating condition stage is the extrusion stage, calculate the target flow rate for the extrusion stage based on the synchronous real-time pressure, synchronous piston rod position, synchronous temperature, piston rod maximum stroke threshold, and extrusion stage target pressure threshold. The calculation formula is as follows: in, This indicates the target flow rate during the squeezing phase. Indicates the basic hydraulic oil flow rate. This indicates the target pressure threshold during the compression phase. Indicates real-time synchronous pressure. Indicates the position of the synchronizing piston rod. This indicates the maximum stroke threshold of the piston rod. Indicates the optimal oil temperature. Indicates synchronous temperature. , and Indicates the weighting coefficient; If the operating condition stage is the pressure holding stage, then the upper limit of the pressure holding pressure is obtained based on the pressure range of the pressure holding stage, and the target flow rate of the pressure holding stage is calculated based on the upper limit of the pressure holding pressure. The target flow rate during the extrusion stage or the target flow rate during the holding stage is taken as the target flow rate.

6. The hydraulic control method for dry ice production based on multi-sensor collaboration as described in claim 1, characterized in that, The process of obtaining the pipe cross-sectional area, calculating the compensation pressure based on the pipe cross-sectional area and the target flow rate, and calculating the target pressure based on the compensation pressure includes: Obtain the inner diameter of the pipe, calculate the cross-sectional area of ​​the pipe based on the inner diameter, and calculate the oil flow velocity based on the target flow rate and the cross-sectional area of ​​the pipe. Obtain the total length of the pipeline and the density of the hydraulic oil. Calculate the compensation pressure based on the pipeline inner diameter, oil flow velocity, total pipeline length, and hydraulic oil density. The calculation formula is as follows: in, This indicates the pressure to compensate. Indicates the friction coefficient. Indicates the total length of the pipeline. Indicates the inner diameter of the pipe. Indicates the density of hydraulic oil. Indicates the oil flow rate. This represents the sum of local drag coefficients; If the operating condition stage is the extrusion stage, then the target pressure is calculated based on the compensation pressure and the target pressure threshold of the extrusion stage. If the operating condition stage is the pressure holding stage, then the target pressure is calculated based on the compensation pressure and the upper limit of the pressure holding pressure.

7. The hydraulic control method for dry ice production based on multi-sensor collaboration as described in claim 6, characterized in that, The variable pump adjustment command is obtained by comparing and analyzing the synchronous real-time pressure, synchronous output flow rate, target flow rate, and target pressure, including: Calculate the flow deviation value based on the synchronous output flow and the target flow, and calculate the pressure deviation value based on the synchronous real-time pressure and the target pressure; The flow deviation value is compared with a preset flow deviation threshold, and the pressure deviation value is compared with a preset pressure deviation threshold. If the flow deviation value is greater than or equal to the flow deviation threshold or the pressure deviation value is greater than or equal to the pressure deviation threshold, the adjustment range is calculated based on the pressure deviation value and the flow deviation threshold. The calculation formula is as follows: in, Indicates adjusting the angle. This indicates the pressure deviation value. Indicates the flow deviation threshold. This indicates the maximum inclination angle of the swashplate. and This represents the deviation weighting coefficient; If the adjustment range is positive, a swashplate tilt increase command is obtained based on the intelligent analysis and decision unit and the adjustment range; if the adjustment range is negative, a swashplate tilt decrease command is obtained based on the intelligent analysis and decision unit and the adjustment range. The swashplate tilt angle increase command or swashplate tilt angle decrease command is used as the variable pump adjustment command.

8. The hydraulic control method for dry ice production based on multi-sensor collaboration as described in claim 1, characterized in that, The step of obtaining the reversing valve control command based on the operating condition stage and obtaining the cooler adjustment command based on the intelligent analysis and decision-making unit and the synchronous temperature includes: If the operating condition stage is the extrusion stage, the extrusion position command of the reversing valve is obtained based on the intelligent analysis and decision unit; if the operating condition stage is the pressure holding stage, the neutral position holding command of the reversing valve is obtained based on the intelligent analysis and decision unit; if the operating condition stage is the reset stage, the reset position command of the reversing valve is obtained based on the intelligent analysis and decision unit. The reversing valve extrusion position command, the reversing valve neutral position hold command, or the reversing valve reset position command are used as reversing valve control commands. Calculate the oil temperature difference based on the synchronized temperature and the optimal oil temperature; The oil temperature difference is compared with a preset temperature deviation threshold. If the oil temperature difference is greater than or equal to the temperature deviation threshold, a cooler amplification command is obtained based on the intelligent analysis and decision unit. If the oil temperature difference is less than the temperature deviation threshold, a cooler amplitude maintenance command is obtained based on the intelligent analysis and decision unit. The cooler amplification command or the cooler amplitude maintenance command is used as the cooler adjustment command.

9. The hydraulic control method for dry ice production based on multi-sensor collaboration as described in claim 8, characterized in that, The pre-constructed controllable device is adjusted based on the execution drive unit, variable pump adjustment command, reversing valve control command, and cooler adjustment command to obtain the adjusted device, including: The execution drive unit receives variable pump adjustment commands, reversing valve control commands, and cooler adjustment commands, wherein the controllable device includes a variable pump, a reversing valve, and a cooler; The swashplate tilt angle of the variable pump is adjusted based on the variable pump adjustment command to obtain the adjusted variable pump. The position of the directional valve is adjusted based on the control command of the directional valve to obtain the adjusted directional valve. The operating power of the cooler is adjusted based on the cooler adjustment command to obtain the adjusted cooler; The adjusted variable pump, adjusted reversing valve, and adjusted cooler are combined to obtain the adjusted device.

10. A hydraulic control system for dry ice production based on multi-sensor collaboration, characterized in that, The apparatus employing the multi-sensor collaborative hydraulic control method for dry ice production according to claim 1 includes: The environment confirmation module confirms receipt of the dry ice production hydraulic control command and confirms the dry ice production hydraulic control environment based on the dry ice production hydraulic control command. The dry ice production hydraulic control environment includes the dry ice production hydraulic control system and dry ice raw materials. The dry ice production hydraulic control system includes a multi-source sensing unit, an intelligent analysis and decision-making unit, and an execution drive unit. The data acquisition module is used to hydraulically pressurize the dry ice raw material based on the pre-built hydraulic cylinder and to acquire data based on the multi-source sensing unit to obtain multi-source information. The multi-source information is synchronized in time to obtain synchronized multi-source information, which includes synchronized real-time pressure, synchronized piston rod position, synchronized dry ice filling height, synchronized output flow rate, and synchronized temperature. The analysis and decision module is used to analyze the synchronous multi-source information based on the intelligent analysis and decision unit to obtain the operating condition stage, wherein the operating condition stage includes a squeezing stage, a pressure holding stage and a reset stage. The target flow rate is calculated based on the operating condition stage, the pipe cross-sectional area is obtained, the compensation pressure is calculated based on the pipe cross-sectional area and the target flow rate, and the target pressure is calculated based on the compensation pressure. Based on the comparative analysis of the synchronous real-time pressure, synchronous output flow, target flow and target pressure, the variable pump adjustment command is obtained; based on the operating condition stage, the reversing valve control command is obtained; and based on the intelligent analysis and decision unit and the synchronous temperature, the cooler adjustment command is obtained. The instruction execution module is used to adjust the pre-constructed controllable device based on the execution drive unit, variable pump adjustment instruction, reversing valve control instruction and cooler adjustment instruction to obtain the adjusted device. Based on the adjusted device, the hydraulic control of dry ice production of the dry ice raw material is realized.