Intelligent control method of hydraulic system in liquor production based on thermal effect analysis

Abstract

The application discloses a kind of intelligent control methods of hydraulic system in liquor production based on thermal effect analysis, belong to control technical field, the method includes: obtaining ambient temperature, current oil temperature, future time period production plan data and the operating parameter of hydraulic system;Based on production plan data, the operating parameter of hydraulic system and pre-constructed production-hydraulic action load table, determine the thermal load power loss of future time period;Based on the thermal load power loss of future time period, current oil temperature and ambient temperature, determine the heat dissipation control strategy, the heat dissipation control strategy is air cooling heat dissipation, water cooling heat dissipation and adjustment production tempo One or more;According to heat dissipation control strategy, generate temperature control instruction.The application realizes the advance cooling regulation of oil temperature, avoids oil temperature to act after being too high, so that the fluctuation of oil temperature is smaller.

Description

Technical Field

[0001] This invention belongs to the field of control technology, specifically relating to an intelligent control method for a hydraulic system in liquor production based on thermal effect analysis. Background Technology

[0002] As a core power unit in modern industrial production, the performance and stability of hydraulic systems directly affect the operating efficiency and product quality of the entire production line. In the production of baijiu (Chinese liquor), hydraulic technology is widely used in several key processes, including filling, capping, filtration, and material conveying. These processes place extremely high demands on the control precision, response speed, and reliability of the hydraulic system. The filling process, in particular, requires high accuracy in bottling volume, as this is a core indicator of product quality; even minor fluctuations in flow rate can lead to significant filling deviations.

[0003] Traditional hydraulic system temperature control often employs simple ON / OFF control. This method monitors the current oil temperature and compares it with a set value, then starts or stops the cooling fan or adjusts the cooling water valve accordingly. However, this passive, reactive control strategy suffers from significant lag; it only intervenes after an abnormal change in oil temperature has already occurred, failing to anticipate future changes in the system's thermal load. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent control method for hydraulic systems in liquor production based on thermal effect analysis, in order to solve the problem that existing control strategies have obvious lag, which can only intervene after the oil temperature has changed abnormally and cannot predict future changes in the system's thermal load.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] In a first aspect, the present invention provides an intelligent control method for a hydraulic system in liquor production based on thermal effect analysis, the method comprising:

[0007] Acquire ambient temperature, current oil temperature, production plan data for future periods, and operating parameters of the hydraulic system;

[0008] Based on production plan data, hydraulic system operating parameters and pre-constructed production-hydraulic action load table, determine the heat load power loss for future periods;

[0009] Based on the heat load power loss in the future time period, the current oil temperature and the ambient temperature, a heat dissipation control strategy is determined. The heat dissipation control strategy is one or more of the following: air cooling, water cooling and adjusting the production cycle.

[0010] Based on the heat dissipation control strategy, temperature control commands are generated.

[0011] Preferably, the production-hydraulic action load table includes multiple hydraulic actions and the duration, pressure, flow rate and thermal load coefficient of each hydraulic action. The operating parameters of the hydraulic system include: output power, volumetric efficiency, oil viscosity, rotational speed and friction coefficient.

[0012] Preferably, based on production plan data, hydraulic system operating parameters, and a pre-constructed production-hydraulic action load table, the heat load power loss for future periods is determined, including:

[0013] Based on the production plan data, the pressure, flow rate, and heat load coefficients for future periods are matched from the production-hydraulic action load table.

[0014] The throttling loss is determined based on the pressure, flow rate, and heat load coefficient of the hydraulic system.

[0015] Determine the internal leakage loss based on the output power and volumetric efficiency of the hydraulic system;

[0016] The friction loss is determined based on the hydraulic fluid viscosity, rotational speed, and friction coefficient of the hydraulic system.

[0017] The total loss is determined based on throttling loss, internal leakage loss, and friction loss;

[0018] The total loss is corrected based on the preset correction terms to obtain the corrected total loss, which is then used as the heat load power loss.

[0019] Preferably, the preset correction items include: temperature correction item, oil state correction item, and volumetric efficiency correction item.

[0020] Preferably, a heat dissipation control strategy is determined based on the heat load power loss in future time periods, the current oil temperature, and the ambient temperature, including:

[0021] Based on the heat load power loss in the future period, the current oil temperature, and the ambient temperature, determine the oil temperature increase rate in the future period and construct a time-rate curve;

[0022] Determine whether there is an oil temperature increase rate greater than the first preset rate on the time-rate curve. If so, extract the time period in which the oil temperature increase rate is greater than the first preset rate to obtain the first time period. When the first time period is reached at the current time, determine that the heat dissipation control strategy is to adopt a combination of adjusting the production cycle, air cooling and water cooling during the first time period.

[0023] If not, determine again whether there is an oil temperature increase rate greater than the second preset rate on the time-rate curve. If so, extract the time period in which the oil temperature increase rate is greater than the second preset rate to obtain the second time period. When the current time reaches the second time period, determine that the heat dissipation control strategy is to use a combination of air cooling and water cooling in the second time period. If not, extract the time period in which the oil temperature increase rate is less than or equal to the second preset rate to obtain the third time period. When the current time reaches the third time period, determine that the heat dissipation control strategy is to use air cooling in the third time period.

[0024] Preferably, the oil temperature increase rate for the future period is determined based on the heat load power loss, the current oil temperature, and the ambient temperature, including:

[0025] At any point in the future time period, obtain the heat capacity and heat dissipation coefficient of the hydraulic system;

[0026] Determine the heat dissipation of the hydraulic system based on the current oil temperature, ambient temperature, and heat dissipation coefficient;

[0027] The rate of increase in oil temperature at any given time is determined based on heat dissipation, heat load power loss, and heat capacity.

[0028] Preferably, the hydraulic system is equipped with a cooling component for performing air cooling and a water cooling component for performing water cooling; the temperature control command includes a start command and an adjustment command, the start command includes a first command for starting the air cooling component, a second command for starting the water cooling component, and a third command for adjusting the production cycle; the adjustment command is used to adjust the output power of the air cooling component and / or adjust the output power of the water cooling component.

[0029] Preferably, according to the heat dissipation control strategy, a temperature control command is generated, including:

[0030] Based on the heat dissipation control strategy, a start command is generated. After the air-cooled component or water-cooled component is started, the air-cooled component or water-cooled component operates at a preset output power.

[0031] Determine the temperature deviation based on the current temperature and the preset target temperature;

[0032] The temperature deviation is input into the PID controller, which generates adjustment commands based on the PID algorithm.

[0033] Preferably, when the control strategy is a combination of adjusting production cycle time, air cooling, and water cooling, the method further includes:

[0034] Obtain the actual total output power of air cooling and water cooling;

[0035] Determine whether the actual total output power is lower than the preset total power. If so, generate a secondary adjustment command for the production cycle.

[0036] Secondly, the present invention provides an intelligent control device for a hydraulic system in baijiu production based on thermal effect analysis. The device is used to implement the aforementioned intelligent control method for a hydraulic system in baijiu production based on thermal effect analysis. The device includes:

[0037] The data acquisition module is used to acquire ambient temperature, current oil temperature, production plan data for future periods, and operating parameters of the hydraulic system;

[0038] The heat load calculation module is used to determine the heat load power loss in future periods based on production plan data, hydraulic system operating parameters and pre-built production-hydraulic action load tables.

[0039] The strategy construction module is used to determine the heat dissipation control strategy based on the heat load power loss in future time periods, the current oil temperature and the ambient temperature. The heat dissipation control strategy is one or more of the following: air cooling, water cooling and adjusting the production cycle.

[0040] The instruction generation module is used to generate temperature control instructions based on the heat dissipation control strategy.

[0041] The beneficial effects of this invention are:

[0042] This invention determines the heat load power loss for future periods by using production plan data, hydraulic system operating parameters, and a pre-constructed production-hydraulic action load table. The heat load power loss can directly reflect the oil temperature changes in the future period. Then, based on the heat load power loss for the future period, the current oil temperature, and the ambient temperature, different heat dissipation control strategies are adopted to achieve advance cooling and regulation of the oil temperature, avoiding action only after the oil temperature is too high. This achieves "feedforward control" and minimizes oil temperature fluctuations. Attached Figure Description

[0043] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0044] Figure 1 This is a flowchart of an intelligent control method for a hydraulic system in liquor production based on thermal effect analysis, provided by one embodiment of the present invention.

[0045] Figure 2 This is a schematic diagram of a production-hydraulic action load table provided in one embodiment of the present invention;

[0046] Figure 3This is a block diagram of an intelligent control device for a hydraulic system in liquor production based on thermal effect analysis, provided by one embodiment of the present invention. Detailed Implementation

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be briefly introduced below in conjunction with the accompanying drawings and descriptions of the embodiments or the prior art. Obviously, the following description of the structure of the accompanying drawings is only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. It should be noted that the description of these embodiments is for the purpose of helping to understand the present invention, but does not constitute a limitation of the present invention.

[0048] Example 1: Figure 1 This is a flowchart of an intelligent control method for a hydraulic system in liquor production based on thermal effect analysis, provided by one embodiment of the present invention. This method can be executed, but is not limited to, by computer equipment with certain computing resources, such as cloud servers, personal computers (PCs, which are multi-purpose computers suitable for personal use in terms of size, price, and performance; desktops, laptops, mini-laptops, tablets, and ultrabooks all belong to personal computers), and other electronic devices. Figure 1 As shown, this embodiment provides an intelligent control method for a hydraulic system in liquor production based on thermal effect analysis, the method including steps S10 to S40.

[0049] Step S10: Obtain ambient temperature, current oil temperature, production plan data for future periods, and operating parameters of the hydraulic system.

[0050] In this embodiment, the ambient temperature can be measured by a temperature sensor; the hydraulic system mainly includes an oil tank, an oil pump, a return oil line, and valves on the return oil line, etc. The temperature sensor for measuring the current oil temperature is mainly installed in the oil tank and the return oil line; the operating parameters of the hydraulic system in this embodiment are mainly parameters of the oil pump, including but not limited to the output power, volumetric efficiency, oil viscosity, rotational speed, and coefficient of friction of the oil pump; the coefficient of friction can be obtained from the technical manual of the oil pump, and the output power and rotational speed of the oil pump can be collected by corresponding sensors; the collection of these parameters is a conventional method in the art and is not described in detail in this embodiment.

[0051] In this embodiment, production plan data for future periods can be obtained from MES (Manufacturing Execution System), PLC (Programmable Logic Controller) timing data, and production schedule tables. For example, the MES system contains work order information for liquor production, the PLC timing data contains start-up and shutdown information for relevant equipment in liquor production, and the production schedule table contains the process timeline for liquor production.

[0052] Step S20: Based on production plan data, hydraulic system operating parameters, and a pre-built production-hydraulic action load table, determine the heat load power loss for future periods.

[0053] In this embodiment, the production-hydraulic action load table includes multiple hydraulic actions and the duration, pressure, flow rate, and heat load coefficient of each hydraulic action. Different production processes have different hydraulic actions. The production processes of baijiu (Chinese liquor) include, but are not limited to, bottle washing, filling, capping, filtration, and cleaning. Hydraulic actions include, but are not limited to, rapid pressing, pressurization, pressure holding, and pressure release. Each production process has multiple hydraulic actions, and each hydraulic action corresponds to a specific duration, oil pressure, flow rate, and heat load coefficient. This embodiment can pre-build the production-hydraulic action load table using production plan data from the baijiu production process, and then store the pre-built production-hydraulic action load table on a server or local storage device. When the production-hydraulic action load table is needed, it can be retrieved directly from the local storage device or the server.

[0054] The production-hydraulic action load table in this embodiment is as follows: Figure 2 As shown, in Figure 2 In hydraulic systems, the heat load factor is an important parameter used to quantify the heat generation intensity of the hydraulic system under specific operating conditions. This factor represents the ratio between the actual heat generation rate and the reference heat generation rate. This ratio provides a clear understanding of the heat generation during operation of the hydraulic system.

[0055] Specifically, when the heat load coefficient is greater than 1, it indicates that the heat generation intensity of the system is increased and the actual heat generation rate exceeds the heat generation rate under the reference state; conversely, when the heat load coefficient is less than 1, it indicates that the heat generation intensity of the system is weakened and the actual heat generation rate is lower than the heat generation rate under the reference state.

[0056] For example, in the pressure-holding and pressing stage of the filter press process, the heat load coefficient is 2.0, which means that the system generates 100% more heat under the current operating conditions than under the baseline conditions. In this case, the system's heat generation is significantly aggravated, and special attention needs to be paid to the system's heat dissipation measures to avoid equipment damage or performance degradation due to overheating.

[0057] To accurately determine the thermal load coefficient of the hydraulic system, this embodiment employs an experimental calibration method. This method involves testing the hydraulic system under actual operating conditions, recording the heat generation rate under different conditions, and comparing it with a benchmark heat generation rate to obtain a specific value for the thermal load coefficient. This approach not only provides an accurate thermal load coefficient but also offers a better understanding of the heating characteristics of the hydraulic system under different operating conditions, providing strong data support for system optimization and improvement.

[0058] Specifically, based on production planning data, hydraulic system operating parameters, and a pre-constructed production-hydraulic action load table, the heat load power loss for future periods is determined, including the following sub-steps:

[0059] Step S201: Match the pressure, flow rate and heat load coefficient for the future period from the production-hydraulic action load table based on the production plan data; in this embodiment, the pressure, flow rate and heat load coefficient can be obtained by looking up the table.

[0060] Step S202: Determine the throttling loss based on the pressure, flow rate, and thermal load coefficient of the hydraulic system.

[0061] In this embodiment, the pressure in the production-hydraulic action load table is the system working pressure. For example, the filter press process requires a pressure of 12 MPa to squeeze the mash. In this circuit, the pressure provided by the pump is mainly used to overcome two aspects: first, the load pressure, i.e., the pressure required for the actuator (cylinder) to perform work; second, the valve port pressure drop, i.e., the pressure loss generated when the oil flows through the throttle valve (or speed control valve), and the pressure loss is mainly converted into heat, causing the oil to heat up. Therefore, the pressure loss, i.e., the valve port pressure drop, can be calculated based on the pressure and the pressure set by the relief valve; then, the throttling loss can be calculated based on the valve port pressure drop, flow rate, and heat load coefficient, and the throttling loss is the main heat source.

[0062] The formula for calculating the throttling loss in this embodiment is as follows:

[0063] ;

[0064] In the formula, The throttling loss at time t in the future time period. The valve orifice pressure drop at time t in the future time period. The heat load coefficient at time t in the future time period. This represents the flow rate at time t in the future time period.

[0065] Step S203: Determine the internal leakage loss based on the output power and volumetric efficiency of the hydraulic system.

[0066] In this embodiment, the output power and volumetric efficiency of the hydraulic system are the same as the output power and volumetric efficiency of the oil pump; therefore, the formula for calculating internal leakage loss is as follows:

[0067] ;

[0068] In the formula, For internal leakage losses, The output power of the oil pump, For volumetric efficiency.

[0069] Step S204: Determine the friction loss based on the hydraulic system's oil viscosity, rotational speed, and friction coefficient; the calculation formula for friction loss in this embodiment is as follows:

[0070] ;

[0071] In the formula, For frictional loss, The coefficient of friction, For rotational speed, This refers to the viscosity of the oil.

[0072] Step S205: Determine the total loss based on throttling loss, internal leakage loss, and friction loss; the formula for calculating the total loss in this embodiment is as follows:

[0073] .

[0074] Step S206: Correct the total loss based on the preset correction terms to obtain the corrected total loss, and use the corrected total loss as the heat load power loss.

[0075] As a further optimization of this embodiment, due to varying ambient temperatures, the base temperature of the hydraulic system is higher, resulting in a greater temperature rise for the same action. Furthermore, the specific heat capacity and thermal conductivity of old oil (oxidized, containing water) decrease, leading to a more significant heat generation effect. Secondly, with the wear of the oil pump, its volumetric efficiency decreases significantly, internal leakage intensifies, and heat generation increases. Therefore, it is necessary to establish preset correction terms to correct for the total loss and improve the accuracy of calculating heat load power loss. Therefore, the preset correction terms in this embodiment include: a temperature correction term, an oil state correction term, and a volumetric efficiency correction term.

[0076] The calculation expression for the temperature correction term is as follows:

[0077] ;

[0078] In the formula, For temperature correction, The ambient temperature.

[0079] The calculation expression for the oil condition correction term is as follows:

[0080] ;

[0081] In the formula, This is a correction item for oil condition. The service life of the oil is defined as [0, 3]. The cleanliness impact factor measures the influence of solid particulate contaminants in the oil on the system. Particulate matter can exacerbate wear on pumps and valves, increase internal leakage, and thus lead to additional energy loss. The cleanliness impact factor ranges from [0.95, 1.0]. The alcohol environmental impact factor measures the impact of airborne alcohol vapor on the system. Alcohol vapor may enter the oil through the tank breather or sealing gaps, changing the physicochemical properties of the oil (such as viscosity and air release), and may accelerate the aging of seals. The alcohol environmental impact factor ranges from [0.92, 0.98].

[0082] The calculation expression for the volumetric efficiency correction term is as follows:

[0083] ;

[0084] In the formula, This is a volumetric efficiency correction term. Q1 is the theoretical output flow rate of the oil pump, which can be calculated based on the pump's displacement and speed. Q2 is the actual output flow rate of the oil pump.

[0085] Therefore, the expression for calculating the heat load power loss P is:

[0086] .

[0087] In this embodiment, the future time period can be the next 30 minutes. Step S20 calculates the heat load power loss for the next 30 minutes, which forms a heat load curve that varies over time. This heat load curve reflects the time period of the heat generation peak. Appropriate heat dissipation control strategies can be implemented in advance before the heat generation peak arrives, avoiding action only after the oil temperature becomes excessively high, thus achieving "feedforward control" with minimal temperature fluctuations. The specific heat dissipation control strategy is described in step S30.

[0088] Step S30: Based on the heat load power loss in the future time period, the current oil temperature and the ambient temperature, determine the heat dissipation control strategy, which is one or more of air cooling, water cooling and adjusting the production cycle.

[0089] Specifically, based on the heat load power loss in future time periods, the current oil temperature, and the ambient temperature, a heat dissipation control strategy is determined, including:

[0090] Step S301: Based on the heat load power loss, current oil temperature and ambient temperature in the future period, determine the oil temperature increase rate in the future period and construct a time-rate curve.

[0091] In this embodiment, the calculation method for the oil temperature increase rate in future time periods is as follows:

[0092] First, at any point in the future, obtain the heat capacity and heat dissipation coefficient of the hydraulic system. The heat capacity of the hydraulic system is a physical property of the system and the hydraulic fluid itself, and can be determined experimentally. For example, the mass of the hydraulic fluid can be calculated from its volume and density in the tank. The heat capacity of the hydraulic system can then be calculated from the fluid mass, its specific heat capacity, the equivalent mass of metal components such as the tank, pipes, and cylinder, and the specific heat capacity of steel. The heat dissipation coefficient represents the rate of heat dissipation per unit temperature difference and per unit area. It is related to air velocity, humidity, and radiator performance, and can be calibrated experimentally.

[0093] The formula for calculating the heat capacity of a hydraulic system is as follows:

[0094] ;

[0095] In the formula, For heat capacity, For oil quality, This is the specific heat capacity of the oil. For equivalent quality, This is the specific heat capacity of steel.

[0096] Then, based on the current oil temperature, ambient temperature, and heat dissipation coefficient, the heat dissipation of the hydraulic system is determined. The expression for calculating the heat dissipation of the hydraulic system is as follows:

[0097] ;

[0098] In the formula, For the heat dissipation of the hydraulic system, For heat dissipation coefficient, For effective heat dissipation area, T represents the current oil temperature, and T represents the ambient temperature.

[0099] Finally, based on heat dissipation, heat load power loss, and heat capacity, the oil temperature increase rate at any given time is determined; that is: oil temperature increase rate = (heat generated - heat dissipation) / heat capacity; where the heat generated is the heat load power loss.

[0100] Step S302: Determine whether there is an oil temperature increase rate greater than the first preset rate on the time-rate curve. If so, extract the time period in which the oil temperature increase rate is greater than the first preset rate to obtain the first time period. When the first time period is reached at the current time, determine that the heat dissipation control strategy is to adopt a combination of adjusting the production cycle, air cooling and water cooling during the first time period.

[0101] Step S303: If not, determine again whether there is an oil temperature increase rate greater than the second preset rate on the time-rate curve. If yes, extract the time period in which the oil temperature increase rate is greater than the second preset rate to obtain the second time period. When the current time reaches the second time period, determine that the heat dissipation control strategy is to use a combination of air cooling and water cooling in the second time period. If not, extract the time period in which the oil temperature increase rate is less than or equal to the second preset rate to obtain the third time period. When the current time reaches the third time period, determine that the heat dissipation control strategy is to use air cooling in the third time period.

[0102] In this embodiment, the first preset rate is greater than the second preset rate. When the rate of increase in oil temperature exceeds the first preset rate, it indicates that the hydraulic system will generate a large amount of heat. Water cooling and air cooling cannot maintain the current oil temperature under rated load. At this time, it is necessary to adjust the production cycle and change the running time and stop time of the hydraulic system, such as extending the filter press interval, to prevent the system from overheating.

[0103] In this embodiment, when the oil temperature increase rate is between the first preset rate and the second preset rate, the hydraulic system generates a significant amount of heat, requiring both water cooling and air cooling to operate simultaneously. When the oil temperature increase rate is lower than the second preset rate, the hydraulic system generates less heat, necessitating only air cooling. Typically, air cooling has lower heat dissipation efficiency and lower power consumption, while water cooling has higher efficiency but higher power consumption. Furthermore, the cooling method for the next period can be predicted in advance, preventing the current cooling method from failing to meet the cooling needs of the next period, which could lead to excessive oil temperature fluctuations and affect the control accuracy of the production process. Simultaneously, by dynamically employing different cooling methods at different times, this embodiment avoids excessively high cooling efficiency that would increase the number of system cooling start-ups and shutdowns, and also reduces ineffective cooling, lowering energy consumption.

[0104] Step S40: Generate temperature control commands according to the heat dissipation control strategy.

[0105] In this embodiment, the hydraulic system is equipped with a cooling component for air cooling and a water cooling component for water cooling. The air cooling component and the water cooling component are common heat dissipation structures in the field of heat dissipation, and their specific heat dissipation structures are not described in detail in this embodiment. The temperature control command includes a start command and an adjustment command. The start command includes a first command for starting the air cooling component, a second command for starting the water cooling component, and a third command for adjusting the production cycle. The adjustment command is used to adjust the output power of the air cooling component and / or adjust the output power of the water cooling component.

[0106] As a further optimization of this embodiment, a temperature control command is generated according to the heat dissipation control strategy, including:

[0107] Step S401: According to the heat dissipation control strategy, a start command is generated. After the air-cooled component or water-cooled component is started, the air-cooled component or water-cooled component operates at a preset output power. In this embodiment, the preset output power can be half of the rated power. After the air-cooled component and water-cooled component are started, heat dissipation is performed at the preset output power. At the same time, the output power of the air-cooled component and water-cooled component is dynamically adjusted according to the measured current oil temperature to ensure that the current oil temperature remains relatively stable.

[0108] Step S402: Determine the temperature deviation based on the current temperature and the preset target temperature.

[0109] Step S403: Input the temperature deviation into the PID controller, which generates adjustment commands based on the PID algorithm. In this embodiment, the air-cooled component adjusts its own air speed when responding to the adjustment command. The higher the air speed, the higher the heat dissipation efficiency. The water-cooled component adjusts the flow rate of the cooling medium (water) when responding to the adjustment command. The higher the flow rate, the higher the heat dissipation efficiency.

[0110] The PID algorithm in this embodiment can calculate the required output power adjustment of the air-cooled or water-cooled components based on the deviation between the current oil temperature and the target temperature, so as to achieve more precise control of the oil temperature and keep the oil temperature of the hydraulic system within the ideal range, thus ensuring the stability of liquor production and product quality.

[0111] As a further optimization of this embodiment, when the control strategy is to adjust the production cycle, air cooling and water cooling combination, the method further includes: obtaining the actual total output power of air cooling and water cooling; determining whether the actual total output power is lower than the preset total power, and if so, generating a secondary adjustment command for the production cycle.

[0112] In this embodiment, the secondary adjustment command for the production cycle is used to restore the production cycle, for example, by appropriately reducing the pressure filtration interval to ensure that the liquor has a high production efficiency.

[0113] Therefore, this embodiment determines the heat load power loss for future periods by using production plan data, hydraulic system operating parameters, and a pre-built production-hydraulic action load table. The heat load power loss can directly reflect the oil temperature change in future periods. Then, based on the heat load power loss for future periods, the current oil temperature, and the ambient temperature, different heat dissipation control strategies are adopted to achieve advance cooling and adjustment of the oil temperature, avoiding action only after the oil temperature is too high. This achieves "feedforward control" and minimizes oil temperature fluctuations.

[0114] Example 2: Figure 3 This is a block diagram of intelligent control of a hydraulic system in liquor production based on thermal effect analysis, provided by one embodiment of the present invention. Figure 3 As shown, this embodiment provides an intelligent control system for a hydraulic system in baijiu production based on thermal effect analysis. This device is used to implement the intelligent control method for the hydraulic system in baijiu production based on thermal effect analysis in Embodiment 1. The device includes:

[0115] The data acquisition module is used to acquire ambient temperature, current oil temperature, production plan data for future periods, and operating parameters of the hydraulic system;

[0116] The heat load calculation module is used to determine the heat load power loss in future periods based on production plan data, hydraulic system operating parameters and pre-built production-hydraulic action load tables.

[0117] The strategy construction module is used to determine the heat dissipation control strategy based on the heat load power loss in future time periods, the current oil temperature and the ambient temperature. The heat dissipation control strategy is one or more of the following: air cooling, water cooling and adjusting the production cycle.

[0118] The instruction generation module is used to generate temperature control instructions based on the heat dissipation control strategy.

[0119] This embodiment also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the intelligent control method for the hydraulic system in liquor production based on thermal effect analysis in Embodiment 1.

[0120] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the intelligent control method for the hydraulic system in liquor production based on thermal effect analysis in Embodiment 1.

[0121] This embodiment determines the heat load power loss for future periods by using production plan data, hydraulic system operating parameters, and a pre-built production-hydraulic action load table. The heat load power loss can directly reflect the oil temperature change in future periods. Then, based on the heat load power loss for future periods, the current oil temperature, and the ambient temperature, different heat dissipation control strategies are adopted to achieve advance cooling and regulation of the oil temperature, avoiding action only after the oil temperature is too high. This achieves "feedforward control" and minimizes oil temperature fluctuations.

[0122] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0123] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A system that specifies functions in one or more boxes.

[0124] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. An intelligent control method for a hydraulic system in liquor production based on thermal effect analysis, characterized in that, The method includes: Acquire ambient temperature, current oil temperature, production plan data for future periods, and operating parameters of the hydraulic system; Based on production plan data, hydraulic system operating parameters, and a pre-constructed production-hydraulic action load table, the heat load power loss for future periods is determined. The production-hydraulic action load table includes multiple hydraulic actions and the duration, pressure, flow rate, and heat load coefficient for each action. The hydraulic system operating parameters include output power, volumetric efficiency, oil viscosity, rotational speed, and friction coefficient. The heat load coefficient quantifies the heat generation intensity of the hydraulic system under specific operating conditions, representing the ratio between the actual heat generation rate and the baseline heat generation rate. The calculation steps for the heat load power loss for future periods are as follows: Based on the production plan data, the pressure, flow rate, and heat load coefficient for the future period are matched from the production-hydraulic action load table; based on the hydraulic system's pressure, flow rate, and heat load coefficient, the throttling loss is determined. The throttling loss is: ; The throttling loss at time t in the future time period. This represents the valve orifice pressure drop at time t in the future time period. The heat load coefficient at time t in the future time period. The flow rate at time t in the future time period; The internal leakage loss is determined based on the hydraulic system's output power and volumetric efficiency; the friction loss is determined based on the hydraulic system's oil viscosity, rotational speed, and friction coefficient; the total loss is determined based on throttling loss, internal leakage loss, and friction loss; the total loss is then corrected using temperature correction, oil condition correction, and volumetric efficiency correction terms to obtain the corrected total loss, which is used as the heat load power loss; the oil condition correction term is as follows: , This is a correction item for oil condition. For the service life of the oil, As an environmental factor affecting alcohol, Cleanliness is an influencing factor; Based on the future heat load power loss, current oil temperature, and ambient temperature, determine the future oil temperature increase rate and construct a time-rate curve. Determine if there is an oil temperature increase rate on the time-rate curve greater than a first preset rate. If so, extract the time period where the oil temperature increase rate is greater than the first preset rate to obtain the first time period. When the first time period is reached at the current moment, determine the heat dissipation control strategy as a combination of adjusting production cycle time, air cooling, and water cooling within the first time period. If not, again determine if there is an oil temperature increase rate on the time-rate curve greater than a second preset rate. If so, extract the time period where the oil temperature increase rate is greater than the second preset rate to obtain the second time period. When the second time period is reached at the current moment, determine the heat dissipation control strategy as a combination of air cooling and water cooling within the second time period. If not, extract the time period where the oil temperature increase rate is less than or equal to the second preset rate to obtain the third time period. When the third time period is reached at the current moment, determine the heat dissipation control strategy as air cooling within the third time period. Based on the heat dissipation control strategy, temperature control commands are generated.

2. The intelligent control method for hydraulic systems in liquor production based on thermal effect analysis according to claim 1, characterized in that, Based on the future heat load power loss, current oil temperature, and ambient temperature, determine the future oil temperature increase rate, including: At any point in the future time period, obtain the heat capacity and heat dissipation coefficient of the hydraulic system; Determine the heat dissipation of the hydraulic system based on the current oil temperature, ambient temperature, and heat dissipation coefficient; The rate of increase in oil temperature at any given time is determined based on heat dissipation, heat load power loss, and heat capacity.

3. The intelligent control method for hydraulic systems in liquor production based on thermal effect analysis according to claim 2, characterized in that, The hydraulic system is equipped with a cooling component for air cooling and a water cooling component for water cooling; the temperature control commands include a start command and an adjustment command, the start command includes a first command for starting the air cooling component, a second command for starting the water cooling component, and a third command for adjusting the production cycle; the adjustment command is used to adjust the output power of the air cooling component and / or adjust the output power of the water cooling component.

4. The intelligent control method for hydraulic systems in liquor production based on thermal effect analysis according to claim 3, characterized in that, Based on the heat dissipation control strategy, temperature control commands are generated, including: Based on the heat dissipation control strategy, a start command is generated. After the air-cooled component or water-cooled component is started, the air-cooled component or water-cooled component operates at a preset output power. Determine the temperature deviation based on the current temperature and the preset target temperature; The temperature deviation is input into the PID controller, which generates adjustment commands based on the PID algorithm.

5. The intelligent control method for hydraulic systems in liquor production based on thermal effect analysis according to claim 3, characterized in that, When the control strategy involves adjusting the production cycle time and a combination of air cooling and water cooling, the method further includes: Obtain the actual total output power of air cooling and water cooling; Determine if the actual total output power is lower than the preset total power. If so, generate a secondary adjustment command for the production cycle.

6. An intelligent control device for a hydraulic system in liquor production based on thermal effect analysis, characterized in that, The device is used to implement the intelligent control method for a hydraulic system in liquor production based on thermal effect analysis as described in any one of claims 1-5, and the device comprises: The data acquisition module is used to acquire ambient temperature, current oil temperature, production plan data for future periods, and operating parameters of the hydraulic system; The heat load calculation module is used to determine the heat load power loss in future periods based on production plan data, hydraulic system operating parameters and pre-built production-hydraulic action load tables. The strategy construction module is used to determine the heat dissipation control strategy based on the heat load power loss in future time periods, the current oil temperature and the ambient temperature. The heat dissipation control strategy is one or more of the following: air cooling, water cooling and adjusting the production cycle. The instruction generation module is used to generate temperature control instructions based on the heat dissipation control strategy.

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