A press oil temperature automatic control method, device, equipment and storage medium

Abstract

The application provides a press oil temperature automatic control method, device, equipment and storage medium, the method comprises the following steps: acquiring current temperature data collected by a plurality of sensors arranged on the upper part of the press at the current moment; based on the current temperature data, the current PID parameter is dynamically adjusted by using an adaptive PID control algorithm; acquiring the press load parameter and the current environmental temperature data stored in advance, and generating an adjustment instruction based on the press load parameter, the current environmental temperature data and the adjusted current PID parameter; based on the adjustment instruction, the operating parameter of each component of the press is adjusted to close-loop adjust the oil temperature of the press. Through the cooperation of the sensor and the adaptive PID control algorithm, the temperature closed-loop control is realized, the press hydraulic system failure caused by temperature fluctuation is effectively avoided, the equipment failure rate is reduced, the downtime maintenance time is reduced, and the production efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of equipment control technology, and in particular to an automatic control method, device, equipment and storage medium for press oil temperature. Background Technology

[0002] As a core forming equipment in industrial production, the oil temperature stability of a press directly determines its service life, production efficiency, and product forming quality. Currently, press oil temperature control systems in the industrial sector mainly adopt traditional fixed parameter control modes.

[0003] However, in existing technologies, presses use on / off control, which is an open-loop control mode. This means they cannot dynamically adjust the control strategy based on changes in ambient temperature (such as seasonal temperature differences and diurnal temperature variations) or press load fluctuations (such as different workpiece pressing requirements). This results in typically large oil temperature deviations, leading to leaks in the press's hydraulic system, accelerated aging of seals, and wear of transmission components, severely impacting production continuity. Therefore, existing technologies suffer from insufficient temperature control accuracy, resulting in a high equipment failure rate.

[0004] Therefore, existing technologies have shortcomings and need to be improved and developed. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide an automatic control method, device, equipment and storage medium for press oil temperature, in view of the above-mentioned defects of the prior art, so as to solve the problem of high equipment failure rate caused by insufficient temperature control accuracy of press in the prior art.

[0006] The technical solution adopted by this invention to solve the technical problem is as follows: An automatic control method for press oil temperature, the method comprising: Obtain the current temperature data collected by several sensors deployed on the press at the current moment; Based on the current temperature data, the current PID parameters are dynamically adjusted using an adaptive PID control algorithm. Obtain pre-stored compressor load parameters and current ambient temperature data, and generate adjustment instructions based on the compressor load parameters, current ambient temperature data, and adjusted current PID parameters; Based on the aforementioned adjustment commands, the operating parameters of each component of the press are adjusted to achieve closed-loop regulation of the press oil temperature.

[0007] In one embodiment of this application, the deployment locations of the sensor include: the inlet of the press oil temperature sensor, the outlet of the press oil temperature sensor, the inlet of the heat exchange chamber, the outlet of the heat exchange chamber, and the outside of the press hydraulic oil cooling jacket.

[0008] In one embodiment of this application, based on the current temperature data, an adaptive PID control algorithm is used to dynamically adjust the current PID parameters, including: Acquire historical temperature data collected by each sensor, and obtain the current temperature deviation and the rate of change of temperature deviation based on the historical temperature data and the current temperature data; Based on the current temperature deviation and the rate of change of temperature deviation, the current PID parameters are dynamically adjusted using an adaptive PID control algorithm. The current PID parameters include: proportional coefficient, integral coefficient, and derivative coefficient.

[0009] In one embodiment of this application, based on the current temperature deviation and the rate of change of temperature deviation, an adaptive PID control algorithm is used to dynamically adjust the current PID parameters, including: Obtain a pre-stored seasonal adaptation parameter library, which includes multiple sets of PID parameters adapted to different seasons; Determine the current season and retrieve the corresponding PID parameters from the season adaptation parameter library; Based on the current temperature deviation, the rate of change of temperature deviation, and the PID parameters corresponding to the current season, the current PID parameters are dynamically adjusted using an adaptive PID control algorithm.

[0010] In one embodiment of this application, the operating parameters of each component of the press are adjusted based on the adjustment command to achieve closed-loop regulation of the press oil temperature, including: The operating parameters of the press's plate cooler, variable frequency circulating cooling pump, and electric regulating valve are adjusted based on the aforementioned adjustment commands. The variable frequency circulating cooling pump adjusts its flow rate according to the adjustment command to ensure that the temperature of each node of the compressor is the same; the electric regulating valve adjusts the cooling water volume according to the adjustment command.

[0011] In one embodiment of this application, the automatic press oil temperature control method further includes: Obtain a preset compressor oil temperature threshold range. If the current temperature data exceeds the compressor oil temperature threshold range and the duration is greater than or equal to the preset duration, then trigger an alarm according to a preset alarm method. The preset alarm method includes at least one of the following: triggering a pre-deployed audible and visual alarm to emit a warning light and a warning sound, or sending an alarm SMS to the equipment of a designated manager. If the alarm method of sending an alarm SMS to the device of a designated administrator is adopted, the current alarm type, alarm time and alarm location are determined, and an alarm SMS carrying the alarm type, alarm time and alarm location is sent to the device of the designated administrator. The alarm types include at least one of the following: temperature alarm, equipment fault alarm, and maintenance reminder alarm.

[0012] In one embodiment of this application, the automatic press oil temperature control method further includes: Automatically record alarm time, alarm type, alarm reason, and handling result, and generate alarm logs based on alarm time, alarm type, alarm reason, and handling result.

[0013] This application also provides an automatic control device for press oil temperature, wherein the device includes: The data acquisition module is used to acquire the current temperature data collected by several sensors deployed on the compressor at the current moment; The parameter adjustment module is used to dynamically adjust the current PID parameters based on the current temperature data using an adaptive PID control algorithm. The instruction generation module is used to obtain pre-stored compressor load parameters and current ambient temperature data, and generate adjustment instructions based on the compressor load parameters, current ambient temperature data and adjusted current PID parameters; The oil temperature regulation module is used to adjust the operating parameters of each component of the press based on the regulation command, so as to perform closed-loop regulation of the press oil temperature.

[0014] This application also provides an apparatus comprising: a memory, a processor, and an automatic press oil temperature control program stored in the memory and executable on the processor, wherein the automatic press oil temperature control program, when executed by the processor, implements the steps of the automatic press oil temperature control method as described above.

[0015] This application also provides a computer-readable storage medium storing a computer program that can be executed to implement the steps of the automatic compressor oil temperature control method described above.

[0016] This invention provides a method, apparatus, device, and storage medium for automatic control of press oil temperature. The method includes: acquiring current temperature data collected by several sensors deployed on the press at the current moment; dynamically adjusting current PID parameters based on the current temperature data using an adaptive PID control algorithm; acquiring pre-stored press load parameters and current ambient temperature data, and generating adjustment commands based on the press load parameters, current ambient temperature data, and adjusted current PID parameters; and adjusting the operating parameters of various components of the press based on the adjustment commands to achieve closed-loop regulation of the press oil temperature. This application achieves closed-loop temperature control through the synergistic effect of sensors and an adaptive PID control algorithm, effectively avoiding press hydraulic system failures caused by temperature fluctuations, reducing equipment failure rate, minimizing downtime for maintenance, and improving production efficiency. Attached Figure Description

[0017] Figure 1 This is a flowchart of a preferred embodiment of the automatic compressor oil temperature control method of the present invention; Figure 2 This is a diagram illustrating that copied or backed-up data may be lost after a node restarts.

[0018] Figure 3 This is a functional principle block diagram of a preferred embodiment of the automatic compressor oil temperature control device of the present invention; Figure 4 This is a functional principle block diagram of a preferred embodiment of the device in this invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0020] The specific shortcomings of existing technologies include: First, insufficient temperature control accuracy leads to a high equipment failure rate: Traditional systems use switch control, which is an open-loop control mode. It cannot dynamically adjust the control strategy according to changes in ambient temperature (such as seasonal temperature differences and day-night temperature differences) and press load fluctuations (such as different workpiece pressing requirements). This results in a large deviation in oil temperature, causing failures such as leakage in the press hydraulic system, accelerated aging of seals, and wear of transmission components, which seriously affects the continuity of production.

[0021] Secondly, energy waste is severe and operating costs are high: existing systems' heating / cooling equipment mostly operate in a constant power mode. For example, cooling pumps run continuously at full load, maintaining high energy consumption even when the oil temperature has reached the set value. According to industry statistics, the ineffective energy consumption of traditional temperature control systems accounts for 30%-40%, which is inconsistent with the development trend of green manufacturing.

[0022] Third, the system lacks intelligent monitoring and predictive maintenance capabilities: the existing system can only achieve basic temperature display functions, without real-time data acquisition and analysis modules, and cannot trace temperature change trends or equipment operating parameters; it also lacks a fault warning mechanism, and only passively shuts down the equipment when a serious fault occurs, which leads to the expansion of the fault and increased maintenance costs. At the same time, it lacks the ability to predict the lifespan of key components such as sensors, which can easily lead to sudden failures that cause the entire production line to stop.

[0023] Fourth, low data utilization and lack of basis for process optimization: Traditional systems do not integrate and analyze data such as oil temperature, equipment energy consumption, and press operating status, and cannot establish a correlation model between temperature parameters and product quality and energy consumption. Production process adjustments rely on operator experience, which is difficult to meet the needs of high-precision production.

[0024] Fifth, poor compatibility and high difficulty in modification: Some existing temperature control systems are closely bound to the main equipment of the press, using customized hardware and dedicated communication protocols. When it is necessary to upgrade or adapt to new production processes, the entire system needs to be modified on a large scale, which is time-consuming, costly, and can easily cause secondary damage to the original equipment during the modification process.

[0025] With the advancement of industry and intelligent manufacturing, the market has placed higher demands on the intelligence, energy efficiency, and stability of press equipment. On the one hand, precise control of oil temperature is required to ensure consistent product quality; on the other hand, intelligent technologies are needed to reduce energy consumption, minimize downtime, and improve production efficiency. Simultaneously, the system must possess good compatibility and scalability to adapt to different press models and production process adjustments. Therefore, developing a high-precision, low-energy-consumption, and intelligent automatic oil temperature control system for presses has become crucial for addressing industry pain points and driving industrial upgrading.

[0026] The purpose of this invention is to overcome the aforementioned deficiencies of the prior art and provide an automatic control system for press oil temperature. Through the deep integration of modular design, adaptive control algorithms, Internet of Things technology, and big data analysis, the following objectives are achieved: First, improve the accuracy of oil temperature control, significantly reducing the equipment failure rate; Secondly, it reduces the energy consumption of the compressor cooling system by more than 33%, saving operating costs; Third, it enables real-time monitoring of equipment operating status and prediction of potential faults, reducing downtime due to malfunctions; Fourth, establish a data-driven process optimization model to improve product qualification rate; Fifth, it enhances system compatibility and can be directly integrated into existing press equipment without large-scale modifications.

[0027] The following description, with reference to the accompanying drawings, illustrates an embodiment of an automatic press oil temperature control method, apparatus, device, and storage medium. Addressing the issue of high equipment failure rates due to insufficient temperature control accuracy in presses mentioned in the background section, this application provides an automatic press oil temperature control method. This method involves acquiring current temperature data collected by several sensors deployed on the press at the current moment; dynamically adjusting current PID parameters based on the current temperature data using an adaptive PID control algorithm; acquiring pre-stored press load parameters and current ambient temperature data; generating adjustment commands based on the press load parameters, current ambient temperature data, and the adjusted current PID parameters; and adjusting the operating parameters of each component of the press based on the adjustment commands to achieve closed-loop regulation of the press oil temperature. This application achieves closed-loop temperature control through the synergistic effect of sensors and the adaptive PID control algorithm, effectively avoiding press hydraulic system failures caused by temperature fluctuations, reducing equipment failure rates, minimizing downtime for maintenance, and improving production efficiency.

[0028] Please see Figure 1 , Figure 1 This is a flowchart of the automatic compressor oil temperature control method in this invention. For example... Figure 1 As shown, the automatic press oil temperature control method described in this embodiment of the invention includes: Step S100: Obtain the current temperature data collected by several sensors deployed on the press at the current moment.

[0029] For example, this application includes a temperature acquisition module, an intelligent control module, an execution module, a data monitoring and analysis module, an alarm module, and a power supply module. Each module interacts with the other and transmits commands via an industrial bus or wireless communication network, unlike traditional open-loop control. The method of this application can achieve closed-loop real-time intelligent control of the press's oil temperature.

[0030] In this embodiment of the application, the deployment locations of the sensor include: the inlet of the press oil temperature sensor, the outlet of the press oil temperature sensor, the inlet of the heat exchange chamber, the outlet of the heat exchange chamber, and the outside of the press hydraulic oil cooling jacket.

[0031] For example, the sensor is a high-precision platinum resistance temperature sensor. The temperature acquisition module of this application includes N high-precision platinum resistance temperature sensors, a signal conditioning circuit, and a data acquisition card, where N≥3, and the specific number is determined based on the length of the press oil temperature circuit and the requirements of the temperature control points. The sensors are respectively fixed to the press oil temperature inlet, outlet, heat exchange chamber inlet, heat exchange chamber outlet, and the outside of the press hydraulic oil cooling jacket. The sensor probes are made of corrosion-resistant and high-temperature resistant material and are fixed by threaded connection to ensure full contact with the oil temperature and reduce temperature transmission delay.

[0032] The working principle of the temperature acquisition module in this application is as follows: the sensor collects oil temperature and hydraulic oil temperature data in real time, outputs a 4~20mA standard analog signal, which is filtered and amplified by the signal conditioning circuit, and then converted into a digital signal (sampling frequency 10Hz) by the data acquisition card, and transmitted to the intelligent control module through the RS485 bus.

[0033] This application improves the accuracy of oil temperature control by deploying a high-precision platinum resistance temperature sensor on the press, thereby achieving closed-loop temperature control.

[0034] like Figure 1 As shown, the automatic press oil temperature control method described in this embodiment of the invention further includes: Step S200: Based on the current temperature data, dynamically adjust the current PID parameters using an adaptive PID control algorithm.

[0035] For example, the intelligent control module uses an industrial-grade PLC as the control core and incorporates an adaptive PID control algorithm, a data storage unit, and a communication interface.

[0036] In this embodiment of the application, step S200 specifically includes: Step S210: Obtain historical temperature data collected by each sensor, and obtain the current temperature deviation and temperature deviation change rate based on the historical temperature data and the current temperature data; Step S220: Based on the current temperature deviation and the rate of change of temperature deviation, dynamically adjust the current PID parameters using an adaptive PID control algorithm.

[0037] The current PID parameters include: proportional coefficient, integral coefficient, and derivative coefficient.

[0038] Specifically, this application, based on fuzzy control theory and PID parameter self-tuning technology, dynamically adjusts the proportional coefficient, integral coefficient, and derivative coefficient by combining oil temperature deviation, temperature deviation change rate, and historical operating data. The fuzzy control theory and PID parameter self-tuning technology introduces fuzzy control theory into PID parameter tuning. By establishing a rule base through the fuzzy relationship between the current temperature deviation and temperature deviation change rate and the PID parameters, automatic parameter adjustment is achieved. The implementation steps are as follows: mapping the current temperature deviation and temperature deviation change rate to fuzzy sets, activating corresponding rules according to the rule base, converting the fuzzy output into precise parameter values, and calculating the control quantity based on the adjusted PID parameters. The steady-state response speed of the fuzzy control theory and PID parameter self-tuning technology used in this invention is superior to that of traditional PID, effectively suppressing random disturbances and re-entering steady state with smaller errors. It does not require preset fixed parameters, adapts to dynamic system changes, and is insensitive to model errors and parameter changes.

[0039] In other words, the adaptive PID control algorithm of this application balances the dynamic response (speed) and steady-state accuracy (precision) of the system by adjusting the proportional, integral, and derivative parameters. The core of parameter self-tuning technology is to automatically optimize the PID parameters according to the real-time state of the system to adapt to the control requirements under different operating conditions.

[0040] This application employs fuzzy control theory, using temperature deviation and its rate of change as inputs. Based on expert experience or experimental data, a fuzzy relationship is established between the current temperature deviation, its rate of change, and the PID parameters. For example, if the temperature deviation is large and the rate of change is large, the proportional coefficient is increased to accelerate the response, while the integral coefficient is decreased to avoid integral saturation. If the temperature deviation is small and the rate of change is small, the integral coefficient is increased to eliminate steady-state error, while the derivative coefficient is adjusted to suppress small fluctuations.

[0041] This application uses fuzzy inference to calculate the correction amount of PID parameters in real time, forming a closed-loop adjustment mechanism.

[0042] In one embodiment of this application, step S220 specifically includes: Step S221: Obtain a pre-stored seasonal adaptation parameter library, which includes multiple sets of PID parameters adapted to different seasons; Step S222: Determine the current season and call the PID parameters corresponding to the current season from the season adaptation parameter library; Step S223: Based on the current temperature deviation, the rate of change of temperature deviation, and the PID parameters corresponding to the current season, dynamically adjust the current PID parameters using an adaptive PID control algorithm.

[0043] Specifically, this application pre-stores multiple sets of PID parameters adapted to different seasons based on their climatic characteristics (e.g., high temperatures in summer and low temperatures in winter). These PID parameters can be obtained through experiments or experience to ensure good control performance of the system in different seasons. This application also determines the current season through date determination or statistical analysis of temperature sensor data. Based on the season identification result, it automatically retrieves several candidate PID parameters corresponding to the current season from the season-adaptive parameter library. Then, based on the current temperature deviation and the rate of change of temperature deviation, it determines the final PID parameter from these candidate parameters. The final PID parameter is assigned to the parameter variables of the adaptive PID control algorithm to achieve rapid parameter switching, thereby shortening the adjustment time.

[0044] like Figure 1 As shown, the automatic press oil temperature control method described in this embodiment of the invention further includes: Step S300: Obtain pre-stored compressor load parameters and current ambient temperature data, and generate adjustment instructions based on the compressor load parameters, current ambient temperature data, and adjusted current PID parameters.

[0045] For example, this application receives real-time data from the temperature acquisition module, combines it with pre-stored press load parameters (such as pressing pressure and pressing speed) and ambient temperature data, and generates adjustment instructions for the execution module through logical operations; at the same time, it uploads key data (temperature value, PID parameters, equipment status) to the data monitoring and analysis module in real time.

[0046] like Figure 1 As shown, the automatic press oil temperature control method described in this embodiment of the invention further includes: Step S400: Adjust the operating parameters of each component of the press based on the adjustment command to perform closed-loop regulation of the press oil temperature.

[0047] The execution module of this application includes a plate cooler, a variable frequency circulating cooling pump, and an electric regulating valve. Each component is connected to the intelligent control module through relays to receive adjustment commands and realize the adjustment of operating parameters.

[0048] In this embodiment of the application, step S400 specifically includes: adjusting the operating parameters of the plate cooler, variable frequency circulating cooling pump and electric regulating valve of the press based on the adjustment command; wherein, the variable frequency circulating cooling pump adjusts the flow rate according to the adjustment command to ensure that the temperature of each node of the press is the same; the electric regulating valve adjusts the cooling water volume according to the adjustment command.

[0049] For example, the variable frequency circulating cooling pump uses a permanent magnet synchronous motor with a frequency range of 10~50Hz. The flow rate is adjusted uniformly according to the oil temperature control command to ensure consistent temperature at each node. An electric regulating valve is installed at the cooler inlet, with an adjustment accuracy of ±1%, to control the cooling water volume and improve the stability of the cooling system.

[0050] This application employs variable frequency control technology and an energy consumption optimization analysis model to achieve precise load matching, avoid ineffective energy consumption, and reduce the energy consumption of the compressor cooling system; furthermore, through data-driven process optimization, it has improved the product qualification rate.

[0051] In this embodiment of the application, the automatic press oil temperature control method further includes: Obtain a preset compressor oil temperature threshold range. If the current temperature data exceeds the compressor oil temperature threshold range and the duration is greater than or equal to the preset duration, then trigger an alarm according to a preset alarm method. The preset alarm method includes at least one of the following: triggering a pre-deployed audible and visual alarm to emit a warning light and a warning sound, or sending an alarm SMS to the equipment of a designated manager. If the alarm method of sending an alarm SMS to the device of a designated administrator is adopted, the current alarm type, alarm time and alarm location are determined, and an alarm SMS carrying the alarm type, alarm time and alarm location is sent to the device of the designated administrator. The alarm types include at least one of the following: temperature alarm, equipment fault alarm, and maintenance reminder alarm.

[0052] For example, the alarm module of this application includes at least one of the following: an audible and visual alarm (installed on-site in the workshop), an SMS module, and an APP push module, which are linked with the data monitoring and analysis module. For temperature alarms, an upper limit (e.g., 45℃) and a lower limit (e.g., 40℃) for oil temperature are set. An alarm is triggered when the temperature exceeds the threshold and the duration is greater than or equal to a preset duration (e.g., ≥3s). For equipment fault alarms, thresholds for execution module operating parameters (e.g., abnormal heater current, water pump speed deviation) and abnormal sensor data (e.g., signal loss, data drift exceeding ±0.3℃) are set. An alarm is triggered immediately when the conditions are met. For maintenance reminder alarms, maintenance analysis is performed on the equipment to obtain predictive maintenance analysis results. When the remaining lifespan of a component is less than a predetermined duration (e.g., ≤30 days), a maintenance reminder is issued.

[0053] The alarm methods of this application include: on-site alarm, such as a red warning light and a buzzer sound (volume ≥ 85dB) emitted by an audible and visual alarm; and remote alarm, such as an SMS module sending an alarm SMS (including alarm time, alarm type, and alarm location) to a designated manager, supporting alarm information confirmation and processing status feedback, that is, being able to receive alarm information confirmation and processing status feedback sent by the designated manager's device.

[0054] This application not only integrates IoT technology and big data analysis functions to monitor the system's operating status in real time, but also predicts potential problems through a fault early warning model, enabling early maintenance work and reducing downtime.

[0055] In one embodiment of this application, the automatic compressor oil temperature control method further includes: automatically recording the alarm time, alarm type, alarm cause, and processing result, and forming an alarm log based on the alarm time, alarm type, alarm cause, and processing result.

[0056] This application automatically records the alarm time, alarm type, alarm cause, and processing result to form an alarm log, which facilitates fault tracing and analysis.

[0057] In addition, the power module of this application adopts a dual-redundant power supply design with an input voltage of AC220V±10% and an output voltage of DC24V (accuracy ±0.5V). It is equipped with a UPS uninterruptible power supply, which can maintain the operation of the core module of the system for ≥30 minutes after a power outage, ensuring that data is not lost and the system can be safely shut down.

[0058] In one specific embodiment, the overall system architecture is as follows: Figure 2 As shown, the system startup initialization parameters include a set temperature range of 40~50℃ and initial PID parameters. The temperature acquisition module collects data in real time, and the intelligent control module receives the real-time temperature data and retrieves historical temperature data. It determines whether the current temperature exceeds the set temperature range. If the current temperature does not exceed the set temperature range, it records the adjustment parameters and the temperature curve. If the current temperature exceeds the set temperature range, it generates adjustment commands based on the self-used PID algorithm, adjusts the equipment parameters, and determines whether the adjusted temperature exceeds the set temperature range. If the adjusted temperature does not exceed the set temperature range, it records the adjustment parameters and the temperature curve.

[0059] If the adjusted temperature exceeds the set temperature range, an audible and visual alarm and a push notification to the mobile device will be triggered. After a preset delay, data will be collected again. It will then determine whether the temperature has recovered after the delay. If the temperature has recovered, the temperature control module will collect data in real time to achieve closed-loop control. If the temperature has not recovered after the delay, an emergency shutdown will be initiated.

[0060] Compared with the prior art, the present invention has the following significant advantages: First, temperature control accuracy is significantly improved. This application improves oil temperature control accuracy through the synergistic effect of a high-precision temperature sensor and an adaptive PID control algorithm, achieving closed-loop temperature control. This effectively avoids hydraulic system failures in the press caused by temperature fluctuations, reduces equipment failure rate, minimizes downtime for maintenance, and increases production efficiency.

[0061] Secondly, the energy-saving effect is outstanding. This application adopts frequency conversion regulation technology and energy consumption optimization analysis model to achieve precise load matching, avoid ineffective energy consumption, and reduce the energy consumption of the compressor cooling system by more than 33%.

[0062] Third, it boasts a high level of intelligence, enabling predictive maintenance. This application integrates IoT technology and big data analytics, which not only monitors the system's operational status in real time but also predicts potential problems through fault warning models, allowing for proactive maintenance and reduced downtime. Simultaneously, data-driven process optimization improves product qualification rates.

[0063] Fourth, it boasts strong compatibility and low modification costs. The system in this application adopts standardized hardware interfaces and universal communication protocols, allowing direct integration into existing press equipment of various models without requiring modifications to the press's main structure. The modification cycle is ≤15 days, and the modification cost is only 50% of that of traditional system upgrades, making it widely applicable.

[0064] Fifth, it aligns with the development trends of green and intelligent manufacturing. This application achieves environmentally friendly production by reducing energy consumption and waste generation; simultaneously, the system's intelligent monitoring and data-driven decision-making functions promote the transformation of press equipment from traditional operation and maintenance models to intelligent manufacturing models, thereby enhancing the company's core competitiveness.

[0065] In one embodiment, such as Figure 3 As shown, based on the above-described automatic press oil temperature control method, the present invention also provides an automatic press oil temperature control device, comprising: The data acquisition module 100 is used to acquire the current temperature data collected by several sensors deployed on the press at the current moment; The parameter adjustment module 200 is used to dynamically adjust the current PID parameters based on the current temperature data using an adaptive PID control algorithm. The instruction generation module 300 is used to acquire pre-stored compressor load parameters and current ambient temperature data, and generate adjustment instructions based on the compressor load parameters, current ambient temperature data and adjusted current PID parameters; The oil temperature regulation module 400 is used to adjust the operating parameters of each component of the press based on the regulation command, so as to perform closed-loop regulation of the press oil temperature.

[0066] It should be noted that the foregoing explanation of the automatic control method for press oil temperature also applies to the automatic control device for press oil temperature in this embodiment, and will not be repeated here.

[0067] This invention discloses an automatic oil temperature control device for a press. It acquires current temperature data collected by several sensors deployed on the press at the current moment; based on this current temperature data, it dynamically adjusts the current PID parameters using an adaptive PID control algorithm; it acquires pre-stored press load parameters and current ambient temperature data, and generates adjustment commands based on these parameters and the adjusted PID parameters; based on these commands, it adjusts the operating parameters of each component of the press to achieve closed-loop regulation of the press oil temperature. This application achieves closed-loop temperature control through the synergistic effect of sensors and the adaptive PID control algorithm, effectively avoiding press hydraulic system failures caused by temperature fluctuations, reducing equipment failure rates, minimizing downtime for maintenance, and improving production efficiency.

[0068] Figure 4 A schematic diagram of the device provided in an embodiment of this application. The device may include: The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0069] When the processor 502 executes the program, it implements the automatic compressor oil temperature control method provided in the above embodiments.

[0070] Furthermore, the equipment also includes: Communication interface 503 is used for communication between memory 501 and processor 502.

[0071] The memory 501 is used to store computer programs that can run on the processor 502.

[0072] The memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0073] If the memory 501, processor 502, and communication interface 503 are implemented independently, they can be interconnected via a bus to communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, only one line is used in the diagram, but this does not imply that there is only one bus or one type of bus.

[0074] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0075] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0076] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described automatic press oil temperature control method.

[0077] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0078] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0079] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0080] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can read and execute instructions from or in conjunction with such an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). In addition, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically by optically scanning paper or other media, then editing, interpreting or otherwise processing them as necessary, and then storing them in computer memory.

[0081] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0082] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0083] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0084] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

[0085] In summary, this invention discloses an automatic control method, device, equipment, and storage medium for press oil temperature. The method includes: acquiring current temperature data collected by several sensors deployed on the press at the current moment; dynamically adjusting current PID parameters based on the current temperature data using an adaptive PID control algorithm; acquiring pre-stored press load parameters and current ambient temperature data, and generating adjustment commands based on the press load parameters, current ambient temperature data, and the adjusted current PID parameters; and adjusting the operating parameters of each component of the press based on the adjustment commands to achieve closed-loop regulation of the press oil temperature. This application achieves closed-loop temperature control through the synergistic effect of sensors and an adaptive PID control algorithm, effectively avoiding press hydraulic system failures caused by temperature fluctuations, reducing equipment failure rate, minimizing downtime for maintenance, and improving production efficiency.

[0086] It should be understood that the application of the present invention is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A method for automatic control of press oil temperature, characterized in that, The method includes: Obtain the current temperature data collected by several sensors deployed on the press at the current moment; Based on the current temperature data, the current PID parameters are dynamically adjusted using an adaptive PID control algorithm. Obtain pre-stored compressor load parameters and current ambient temperature data, and generate adjustment instructions based on the compressor load parameters, current ambient temperature data, and adjusted current PID parameters; Based on the aforementioned adjustment commands, the operating parameters of each component of the press are adjusted to achieve closed-loop regulation of the press oil temperature.

2. The automatic press oil temperature control method according to claim 1, characterized in that, The sensor is deployed at the following locations: the inlet of the press oil temperature sensor, the outlet of the press oil temperature sensor, the inlet of the heat exchange chamber, the outlet of the heat exchange chamber, and the outside of the press hydraulic oil cooling jacket.

3. The automatic press oil temperature control method according to claim 1, characterized in that, Based on the current temperature data, the current PID parameters are dynamically adjusted using an adaptive PID control algorithm, including: Acquire historical temperature data collected by each sensor, and obtain the current temperature deviation and the rate of change of temperature deviation based on the historical temperature data and the current temperature data; Based on the current temperature deviation and the rate of change of temperature deviation, the current PID parameters are dynamically adjusted using an adaptive PID control algorithm. The current PID parameters include: proportional coefficient, integral coefficient, and derivative coefficient.

4. The automatic press oil temperature control method according to claim 3, characterized in that, Based on the current temperature deviation and the rate of change of temperature deviation, the current PID parameters are dynamically adjusted using an adaptive PID control algorithm, including: Obtain a pre-stored seasonal adaptation parameter library, which includes multiple sets of PID parameters adapted to different seasons; Determine the current season and retrieve the corresponding PID parameters from the season adaptation parameter library; Based on the current temperature deviation, the rate of change of temperature deviation, and the PID parameters corresponding to the current season, the current PID parameters are dynamically adjusted using an adaptive PID control algorithm.

5. The automatic press oil temperature control method according to claim 1, characterized in that, Based on the aforementioned adjustment commands, the operating parameters of each component of the press are adjusted to achieve closed-loop regulation of the press oil temperature, including: The operating parameters of the press's plate cooler, variable frequency circulating cooling pump, and electric regulating valve are adjusted based on the aforementioned adjustment commands. The variable frequency circulating cooling pump adjusts its flow rate according to the adjustment command to ensure that the temperature of each node of the compressor is the same; the electric regulating valve adjusts the cooling water volume according to the adjustment command.

6. The automatic press oil temperature control method according to claim 1, characterized in that, The automatic press oil temperature control method also includes: Obtain a preset compressor oil temperature threshold range. If the current temperature data exceeds the compressor oil temperature threshold range and the duration is greater than or equal to the preset duration, then trigger an alarm according to a preset alarm method. The preset alarm method includes at least one of the following: triggering a pre-deployed audible and visual alarm to emit a warning light and a warning sound, or sending an alarm SMS to the equipment of a designated manager. If the alarm method of sending an alarm SMS to the device of a designated administrator is adopted, the current alarm type, alarm time and alarm location are determined, and an alarm SMS carrying the alarm type, alarm time and alarm location is sent to the device of the designated administrator. The alarm types include at least one of the following: temperature alarm, equipment fault alarm, and maintenance reminder alarm.

7. The automatic press oil temperature control method according to claim 6, characterized in that, The automatic press oil temperature control method also includes: Automatically record alarm time, alarm type, alarm reason, and handling result, and generate alarm logs based on alarm time, alarm type, alarm reason, and handling result.

8. An automatic control device for press oil temperature, characterized in that, The device includes: The data acquisition module is used to acquire the current temperature data collected by several sensors deployed on the compressor at the current moment; The parameter adjustment module is used to dynamically adjust the current PID parameters based on the current temperature data using an adaptive PID control algorithm. The instruction generation module is used to obtain pre-stored compressor load parameters and current ambient temperature data, and generate adjustment instructions based on the compressor load parameters, current ambient temperature data and adjusted current PID parameters; The oil temperature regulation module is used to adjust the operating parameters of each component of the press based on the regulation command, so as to perform closed-loop regulation of the press oil temperature.

9. A device, characterized in that, include: The system includes a memory, a processor, and an automatic press oil temperature control program stored in the memory and executable on the processor. When the processor executes the automatic press oil temperature control program, it implements the steps of the automatic press oil temperature control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that can be executed to implement the steps of the automatic press oil temperature control method as described in any one of claims 1 to 7.

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