Method and device for controlling vacuum degree in tower based on high-boiling-point solvent recovery device

Abstract

The invention provides an in-tower vacuum degree control method and device based on a high-boiling-point solvent recovery device. A controller of the high-boiling-point solvent recovery device obtains the vacuum degree of distillation separation equipment; detecting that the vacuum degree deviates from a preset safety interval; obtaining basic data of a high-boiling-point solvent and operation data of distillation separation equipment; determining at least one abnormal event according to the operation data and a preset normal value interval of the operation data; determining a vacuum degree recovery strategy according to the at least one abnormal event; and executing a vacuum degree recovery strategy to recover the vacuum degree to a preset safety interval. Therefore, when the vacuum degree fluctuation is detected, a multi-dimensional monitoring network is formed according to the basic data of the high-boiling-point solvent and various operation data of the distillation separation equipment, the root of the vacuum degree abnormity can be quickly positioned, the accuracy, comprehensiveness and automation degree of vacuum degree abnormity detection are improved, the sudden failure risk of the equipment is reduced, and the safety of the equipment is improved. The equipment life is prolonged.

Description

Technical Field

[0001] This application belongs to the technical field of transmission systems for measured values, control signals or similar signals in new energy, and particularly relates to a control method and device for the in-tower vacuum degree based on a high-boiling-point solvent recovery device. Background Art

[0002] When recovering high-boiling-point solvents, pressure has a significant impact on their boiling points. When the vacuum degree drops or fluctuates abnormally, it will disrupt the gas-liquid equilibrium in the tower and interfere with separation processes such as distillation and evaporation. In the prior art, when the vacuum degree in the recovery tower fluctuates, it is usually adjusted through a pressure regulating valve, and the control method is single and it is impossible to effectively determine the influencing factors causing the vacuum degree fluctuation. Summary of the Invention

[0003] This application provides a control method and device for the in-tower vacuum degree based on a high-boiling-point solvent recovery device. When a vacuum degree fluctuation is detected, a multi-dimensional monitoring network is formed based on the basic data of the high-boiling-point solvent and various operating data of the distillation separation equipment, which can quickly locate the root cause of the abnormal vacuum degree, improve the accuracy, comprehensiveness and automation of the abnormal vacuum degree detection, thereby reducing the risk of sudden equipment failures and extending the equipment life.

[0004] In a first aspect, an embodiment of this application provides a control method for the in-tower vacuum degree based on a high-boiling-point solvent recovery device, which is applied to a controller of the high-boiling-point solvent recovery device. The high-boiling-point solvent recovery device further includes at least one distillation separation device. Each distillation separation device includes a tower body, a vacuum module, a condensation module, and a tower kettle heating module. The vacuum module includes a vacuum pump and a pressure regulating valve. The condensation module includes a condenser. The vacuum pump is used to provide vacuum power. The pressure regulating valve is connected to the outlet pipeline of the vacuum pump and controls the pressure in the tower by adjusting the opening degree. The tower kettle heating module is used to provide the heat required for evaporation. The condenser is used to condense the high-boiling-point solvent vapor in the tower. The method includes: obtaining the vacuum degree of the distillation separation device; detecting that the vacuum degree deviates from a preset safe range; obtaining the basic data of the high-boiling-point solvent and the operating data of the distillation separation device, where the operating data includes at least one of the current data, vibration data, circulating water volume of the vacuum pump, cooling water flow rate of the condenser, cooling water temperature, tower kettle temperature of the distillation separation device, and feed rate of the distillation separation device; determining at least one abnormal event according to the operating data and a preset normal value range of the operating data, where the preset safe range, the normal value range are associated with the basic data; determining a vacuum degree recovery strategy according to the at least one abnormal event; and executing the vacuum degree recovery strategy to make the vacuum degree recover to the preset safe range.

[0005] Second aspect, an embodiment of the present application provides a control device for the in-tower vacuum degree of a high-boiling-point solvent recovery device, which is applied to a controller of the high-boiling-point solvent recovery device. The high-boiling-point solvent recovery device further includes at least one distillation separation device. Each distillation separation device includes a tower body, a vacuum module, a condensation module, and a tower kettle heating module. The vacuum module includes a vacuum pump and a pressure regulating valve. The condensation module includes a condenser. The vacuum pump is used to provide vacuum power. The pressure regulating valve is connected to the outlet pipeline of the vacuum pump and controls the pressure inside the tower by adjusting the opening degree. The tower kettle heating module is used to provide the heat required for evaporation. The condenser is used to condense the high-boiling-point solvent vapor inside the tower. The device includes: an acquisition unit for acquiring the vacuum degree of the distillation separation device; a processing unit for detecting that the vacuum degree deviates from a preset safe range; the acquisition unit is further used to acquire the basic data of the high-boiling-point solvent and the operation data of the distillation separation device. The operation data includes at least one of the current data, vibration data, circulating water volume of the vacuum pump, cooling water flow rate, cooling water temperature of the condenser, tower kettle temperature of the distillation separation device, and feed rate of the distillation separation device; the processing unit is further used to determine at least one abnormal event according to the operation data and the normal value range of the preset operation data. The preset safe range and the normal value range are associated with the basic data; and, determine a vacuum degree recovery strategy according to the at least one abnormal event; and, execute the vacuum degree recovery strategy to make the vacuum degree return to the preset safe range.

[0006] Third aspect, an embodiment of the present application provides a high-boiling-point solvent recovery device, which includes a controller of the high-boiling-point solvent recovery device and at least one distillation separation device. Each distillation separation device includes a tower body, a vacuum module, a condensation module, and a tower kettle heating module. The vacuum module includes a vacuum pump and a pressure regulating valve. The condensation module includes a condenser. The vacuum pump is used to provide vacuum power. The pressure regulating valve is connected to the outlet pipeline of the vacuum pump and controls the pressure inside the tower by adjusting the opening degree. The tower kettle heating module is used to provide the heat required for evaporation. The condenser is used to condense the high-boiling-point solvent vapor inside the tower. The controller is used to execute the step instructions in any one of the methods in the first aspect.

[0007] Fourth aspect, an embodiment of the present application provides a controller, which includes a processor and a memory. A computer program is stored in the memory. When the processor calls the computer program in the memory, it executes the step instructions in any one of the methods in the first aspect.

[0008] It can be seen that in the embodiment of the present application, the controller of the high-boiling-point solvent recovery device obtains the vacuum degree of the distillation separation device; detects that the vacuum degree deviates from the preset safe range; obtains the basic data of the high-boiling-point solvent and the operation data of the distillation separation device, where the operation data includes at least one of the current data, vibration data, circulating water volume of the vacuum pump, cooling water flow rate of the condenser, cooling water temperature, bottom temperature of the distillation separation device, and feed rate of the distillation separation device; determines at least one abnormal event according to the operation data and the normal value range of the preset operation data, where the preset safe range, normal value range are associated with the basic data; determines a vacuum degree recovery strategy according to at least one abnormal event; and executes the vacuum degree recovery strategy to make the vacuum degree recover to the preset safe range. Therefore, compared with the method of only adjusting the in-tower vacuum degree by a pressure regulating valve in the prior art, when the vacuum degree fluctuation is detected in the present application, a multi-dimensional monitoring network is formed according to the basic data of the high-boiling-point solvent and various operation data of the distillation separation device, which can quickly locate the root cause of the abnormal vacuum degree, improve the accuracy, comprehensiveness and automation degree of the abnormal vacuum degree detection, thereby reducing the risk of sudden equipment failure and extending the equipment life. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained according to these drawings. Among them, Figure 1 is a structural block diagram of the high-boiling-point recovery device provided by the embodiment of the present application; Figure 2 is a structural block diagram of a controller provided by the embodiment of the present application; Figure 3 is a structural block diagram of a distillation separation device provided by the embodiment of the present application; Figure 4 is a schematic flowchart of a control method for the in-tower vacuum degree of the high-boiling-point solvent recovery device provided by the embodiment of the present application; Figure 5 is a functional unit structural block diagram of a control device for the in-tower vacuum degree of the high-boiling-point solvent recovery device provided by the embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0010] To enable those skilled in the art to better understand the solution of this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0011] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned accompanying drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but in some embodiments also includes steps or units not listed, or in some embodiments also includes other steps or units inherent to these processes, methods, products, or devices.

[0012] Referring to "embodiment" in this context means that a specific feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of this application. The phrase appears in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0013] The "and / or" in the embodiments of this application describes the association relationship of associated objects and indicates that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone; A and B exist simultaneously; B exists alone. Among them, A and B can be singular or plural.

[0014] In the embodiments of this application, the symbol " / " can represent an "or" relationship between the preceding and following associated objects. Additionally, the symbol " / " can also represent a division sign, that is, perform a division operation. For example, A / B can represent A divided by B.

[0015] The "at least one (item)" or its similar expression in the embodiments of this application refers to any combination of these items, including any combination of single items (pieces) or plural items (pieces), and refers to one or more, where multiple refers to two or more. For example, at least one (item) of a, b, or c can represent the following seven situations: a, b, c, a and b, a and c, b and c, a, b, and c. Among them, each of a, b, and c can be an element or a set containing one or more elements.

[0016] In the embodiments of the present application, "equal to" can be used in combination with "greater than", which is applicable to the technical solutions adopted when it is greater than, and can also be used in combination with "less than", which is applicable to the technical solutions adopted when it is less than. When "equal to" is used in combination with "greater than", it is not used in combination with "less than"; when "equal to" is used in combination with "less than", it is not used in combination with "greater than".

[0017] To solve the above technical problems, the present application provides a method and device for controlling the in-tower vacuum degree of a high-boiling-point solvent recovery device. When a vacuum degree fluctuation is detected, a multi-dimensional monitoring network is formed based on the basic data of the high-boiling-point solvent and various operating data of the distillation separation equipment, which can quickly locate the root cause of the abnormal vacuum degree, improve the accuracy, comprehensiveness and automation degree of the abnormal vacuum degree detection, thereby reducing the risk of sudden equipment failures and extending the equipment life.

[0018] The technical solutions of the present application and how the technical solutions of the present application solve the above technical problems will be described in detail below with specific embodiments. These several specific embodiments below can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below with reference to the drawings.

[0019] Please refer to Figure 1 , Figure 1 which is a structural block diagram of the high-boiling-point recovery device provided by the embodiments of the present application. As Figure 1 shown, the high-boiling-point recovery device 1 includes at least one distillation separation device 10 and a controller 20 communicatively connected to each distillation separation device 10.

[0020] Among them, the controller 20 is used to obtain the operating state of each distillation separation device 10 and perform data processing and analysis on the operating state. The operating state includes, but is not limited to, the in-tower vacuum degree and the operating data of other devices and modules in the distillation separation device 10. The processing and analysis process includes, but is not limited to, determining whether the vacuum degree in the distillation separation device 10 is abnormal according to the operating state, and generating a vacuum degree recovery strategy according to the operating data when the vacuum degree deviates from the preset safe range.

[0021] In specific implementation, see Figure 2 , Figure 2 which is a structural block diagram of a controller provided by the embodiments of the present application. As Figure 2 shown, the controller 20 includes a processor 201, a memory 203, a communication interface 202 and one or more programs 2031. Among them, the one or more programs 2031 are stored on the memory 203 and are configured to be executed by the above-mentioned processor 201. The one or more programs 2031 include instructions for executing any step in the embodiments of the following multi-stage speed control method for powder metering and discharging.

[0022] It should be noted that in the embodiments of the present application, the high-boiling solvent has a relatively high boiling point under normal atmospheric pressure. Direct heating and recovery require high-temperature conditions. High-temperature conditions not only easily cause direct thermal decomposition of the high-boiling solvent, but also consume a large amount of thermal energy for high-temperature heating, resulting in low energy consumption efficiency. Moreover, the vapor pressure on the liquid surface is low at high temperatures, the evaporation rate is slow, and the recovery efficiency is low. In addition, the high-temperature environment easily exacerbates equipment corrosion and coking, which is not conducive to equipment maintenance.

[0023] Therefore, when recovering high-boiling solvents, the physical properties of the solvent are usually changed by reducing the environmental pressure, so as to solve the problems of efficiency, energy consumption and material stability in the conventional atmospheric pressure recovery process.

[0024] Specifically, based on the Clausius-Clapeyron equation, the boiling point of a liquid is positively correlated with the ambient air pressure. The lower the air pressure, the lower the boiling point. The air in the tower is pumped out by a vacuum pump to form a negative pressure environment. Because the boiling point is reduced in a vacuum environment, when the high-boiling solvent is heated in the tower bottom, it can be vaporized without reaching the boiling point under normal atmospheric pressure.

[0025] Exemplarily, when recovering DMF (dimethylformamide, boiling point under normal atmospheric pressure is 153 °C), if atmospheric distillation is required to heat to above 160 °C, and DMF is prone to decompose to produce toxic gases above 140 °C. Under a vacuum of -90 kPa, the boiling point of DMF drops by about 80 °C, and it can be safely recovered.

[0026] Among them, the vacuum degree = atmospheric pressure - absolute pressure in the tower. When the absolute pressure in the tower increases, the vacuum degree in the tower decreases. When the absolute pressure in the tower decreases, the vacuum degree in the tower increases.

[0027] Among them, see Figure 3 , Figure 3 is a structural block diagram of a distillation separation device provided by an embodiment of the present application. As Figure 3 shown, a single distillation separation device 10 includes a tower body 11, a vacuum module 12, a condensation module 13, and a tower bottom heating module 14. Among them, the vacuum module 12 includes a vacuum pump and a pressure regulating valve, and the condensation module 13 includes a condenser. The vacuum pump is used to provide vacuum power. In this embodiment, the operation of the vacuum pump depends on the cooling circulating water. Stopping the water supply or having a small amount of water will cause the temperature of the pump body to rise and the performance to decline, resulting in a reduction in the pumping capacity and an increase in the pressure in the tower. The pressure regulating valve is connected to the outlet pipeline of the vacuum pump, and the pressure in the tower is controlled by adjusting the opening degree of the pressure regulating valve. The tower bottom heating module 14 is used to provide the heat required for evaporation. The condenser is used to condense the high-boiling solvent vapor in the tower.

[0028] Among them, the working process of the distillation separation device is as follows: Step 1, filter the high-boiling solvent waste liquid to remove solid impurities, heat it to 50-60 °C through a preheater (reduce the heat load at the tower bottom), and send it to the middle of the tower body (the position of the feed plate) by a feed pump.

[0029] Step 2, start the vacuum pump and gradually reduce the pressure in the tower to the target negative pressure.

[0030] Step 3, the tower kettle is heated, the high boiling point solvent and water evaporate to form steam, and the steam rises along the tower.

[0031] Step 4: The steam contacts the reflux liquid from top to bottom on the surface of the tower packing. The high-boiling-point solvent vapor is partially liquefied when cooled, and the low-concentration water component continues to rise. Through multiple "evaporation-condensation", the high-boiling-point solvent vapor at the top of the tower gradually increases to 95%-98%, the water in the reflux liquid is gradually stripped off, and the high-boiling-point solvent concentration in the bottom liquid of the tower is reduced to less than 5%.

[0032] Step 5: The vapor at the top of the tower enters the condenser and is condensed into liquid, and then flows into the stratification tank. Since the miscibility of the high boiling point solvent with water decreases with decreasing temperature, the liquid in the stratification tank is divided into two layers: the upper layer is the water phase (containing 2%-5% of the high boiling point solvent and the rest is water) and is discharged into the wastewater treatment system; the lower layer is the high boiling point solvent phase (containing 98%-99% of the high boiling point solvent and a small amount of water), which is pumped into other distillation separation equipment for further purification or direct reuse.

[0033] It can be understood that the above-mentioned high boiling point solvent recovery device is only an example provided in the embodiment of the present application. The high boiling point solvent recovery device can of course also include other devices or components, and the present application does not limit this.

[0034] Based on the above hardware structure, an embodiment of a method for controlling the vacuum degree in a tower based on a high-boiling-point solvent recovery device provided in an embodiment of the present application is proposed.

[0035] See also Figure 4 , Figure 4 A schematic diagram of a method for controlling the vacuum degree in a tower of a high boiling point solvent recovery device provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the method is applied to Figure 1 The controller 20 shown in the figure, the method comprises the following steps S401 to S406: Step S401, obtaining the vacuum degree of the distillation separation equipment.

[0036] Step S402: detecting that the vacuum degree deviates from a preset safety range.

[0037] The deviation of the vacuum degree from the preset safety interval includes two situations: the actual vacuum degree in the tower is greater than the maximum value of the preset safety interval and the actual vacuum degree is less than the minimum value of the preset safety interval. The vacuum degree is too large and the vacuum degree is too small corresponding to different abnormal situations and adjustment strategies, which are explained below.

[0038] Step S403, obtaining basic data of the high boiling point solvent and operation data of the distillation separation equipment.

[0039] Among them, the operating data includes at least one of the current data, vibration data of the vacuum pump, the circulating water volume of the vacuum pump, the cooling water flow rate of the condenser, the cooling water temperature, the bottom temperature of the distillation separation equipment, and the feed rate of the distillation separation equipment.

[0040] Among them, the operating state of the vacuum pump is judged through the current data and vibration data of the vacuum pump to determine whether the vacuum pump itself is faulty, such as motor overload and impeller wear. The current data and vibration data directly reflect the mechanical load, internal wear and operating stability of the equipment.

[0041] Specifically, in the normal state, the current data is stable within the range of ±10% of the rated value. If the current suddenly rises, it may be that the bearing is stuck or the blade is blocked. If the current suddenly drops, it may be that the coupling is broken or there is an internal leak.

[0042] If the vibration data is too high, it may be due to reasons such as damaged vacuum pump bearings, unbalanced impellers or shaft turning.

[0043] In some embodiments, the abnormal conditions of the vacuum pump are jointly judged through the current data and vibration data. For example, if the current increases and the vibration frequency reaches the high-frequency peak value, it can be determined that the bearing is damaged. By jointly judging the current data and vibration data, the possibility of misjudgment can be reduced and the accuracy of fault diagnosis can be improved.

[0044] Among them, the operating state of the condenser is judged through the cooling water flow rate and the cooling water temperature. If the cooling water temperature is high or the flow rate is small, the cooling effect of the condenser will be reduced, making it impossible for the high-boiling solvent vapor to be fully condensed, accumulating in the tower and causing the pressure to rise and the vacuum degree to drop.

[0045] Among them, the air extraction capacity of the vacuum pump depends on the circulating water volume of the vacuum pump. Stopping the water supply or having a small water volume will cause the pump body temperature to rise and the performance to decline, resulting in a reduction in the air extraction capacity, an increase in the tower pressure, and a drop in the vacuum degree.

[0046] Among them, the bottom temperature determines the evaporation efficiency of the high-boiling solvent waste liquid. If the bottom heating is too fast or the temperature is too high, the vaporization speed of the high-boiling solvent waste liquid will be too fast, and the amount of steam will exceed the processing capacity of the condenser. Some steam cannot be condensed in time, resulting in an increase in the tower pressure and a drop in the vacuum degree.

[0047] Among them, if the feed rate of the distillation separation equipment is too large, it will lead to an increase in the materials in the tower, an increase in the amount of steam generated by vaporization, exceeding the condenser load, resulting in an increase in pressure and a drop in the vacuum degree.

[0048] Step S404, determine at least one abnormal event according to the operating data and the preset normal value range of the operating data.

[0049] Among them, the preset safety range, the normal value range are associated with the basic data.

[0050] In some embodiments, the vacuum degree is lower than the minimum value of the preset safety range. Determining at least one abnormal event according to the operation data and the normal value range of the preset operation data includes: detecting that the current data deviates from the normal current range, and / or the vibration data exceeds the maximum value of the normal vibration range, determining that the abnormal event is a vacuum pump failure; detecting that the circulating water volume of the vacuum pump is lower than the minimum value of the normal circulating water volume range, determining that the abnormal event is a low water intake of the vacuum pump; detecting that the cooling water flow is lower than the minimum value of the normal flow range, determining that the abnormal event is a low cooling water flow; detecting that the cooling water temperature exceeds the maximum value of the normal cooling temperature range, determining that the abnormal event is a high cooling water temperature; detecting that the bottom temperature of the tower exceeds the maximum value of the normal bottom temperature range, determining that the abnormal event is a high bottom temperature of the tower; detecting that the feed rate exceeds the maximum value of the normal feed range, determining that the abnormal event is a high feed rate; detecting that each of the operation data such as the current data, the vibration data, the circulating water volume of the vacuum pump, the cooling water flow, the cooling water temperature, the bottom temperature of the tower, and the feed rate is within the normal value range, determining that the abnormal event is a pipeline leak or a pressure regulating valve failure.

[0051] Among them, when all the operation data are normal but the vacuum degree is still abnormal, the root cause of the failure may also be a system sealing problem (pipeline leak) or a pressure control element failure (pressure regulating valve failure), resulting in the infiltration of external air or out-of-control pressure regulation.

[0052] It can be seen that in this embodiment, through the cross-verification of multi-dimensional operation data (such as current, vibration, temperature, etc.), the misjudgment of a single parameter is avoided, the accuracy of fault location is improved, and the accurate tracing from "parameter abnormality" to "root cause of failure" is realized.

[0053] In some embodiments, the basic data includes the boiling point-pressure curve, thermal decomposition temperature, pressure safety range, and thermal sensitivity coefficient of the high-boiling solvent; wherein, the preset safety range is associated with the boiling point-pressure curve, the thermal decomposition temperature, and the pressure safety range; the normal current range is associated with the boiling point-pressure curve and the pressure safety range; the normal vibration range is associated with the pressure safety range; the normal circulating water volume range is associated with the pressure safety range; the normal flow rate range is associated with the boiling point-pressure curve and the thermal sensitivity coefficient; the normal cooling temperature range is associated with the thermal decomposition temperature and the boiling point-pressure curve; the normal bottom temperature range is associated with the boiling point-pressure curve, the thermal decomposition temperature, and the thermal sensitivity coefficient; the normal feed range is associated with the boiling point-pressure curve and the pressure safety range.

[0054] Among them, different high-boiling solvents have different basic data. The boiling point-pressure curve determines the evaporation temperature of the solvent at different vacuum degrees, which in turn affects the normal ranges of the bottom temperature and the cooling water temperature. The thermal decomposition temperature refers to the temperature at which the high-boiling solvent begins to undergo irreversible chemical decomposition during heating. If the solvent exceeds the thermal decomposition temperature, chemical deterioration will occur (such as significant decomposition of DMF above 150°C). Therefore, the ranges of the bottom temperature, cooling water temperature, etc. need to be much lower than this threshold. If the temperature approaches the thermal decomposition temperature (such as set to 80%-90% of the thermal decomposition temperature), an alarm needs to be triggered to avoid the generation of impurities or safety risks due to decomposition. If the cooling water temperature is too high, resulting in a decrease in the efficiency of the condenser and the inability to condense the solvent vapor in time, the pressure inside the tower may increase, indirectly leading to a temperature runaway approaching the thermal decomposition temperature.

[0055] In the distillation system, if gases are generated by thermal decomposition, there may be a risk of explosion. The general safety operation window is set as follows: when the temperature inside the tower is less than (decomposition temperature - 20°C), the system is in a safe state; when the temperature inside the tower is within (decomposition temperature ± 10°C), the system is in a high-risk state, and at this time, the heat source needs to be cut off; when the temperature inside the tower is greater than (decomposition temperature + 10°C), the system is in an explosion risk state, and at this time, emergency pressure relief is required, and nitrogen is filled into the tower to inhibit the decomposition reaction.

[0056] The pressure safety range needs to be between the critical vacuum degree and the atmospheric pressure to ensure stable distillation. Among them, the critical vacuum degree is the pressure threshold at which the solvent begins to undergo unstable vaporization (such as bumping).

[0057] The thermal sensitivity coefficient refers to the sensitivity of the high-boiling solvent to the adjustment of temperature control. Solvents with a high thermal sensitivity coefficient are more sensitive to temperature fluctuations, and the normal ranges of temperature-related parameters need to be narrowed (such as ±5°C). Conversely, the normal ranges of temperature-related parameters of solvents with a low thermal sensitivity coefficient can be widened (such as ±10°C).

[0058] Among them, the preset safety range of the vacuum degree is related to the boiling point-pressure curve. The vacuum degree directly affects the system pressure and needs to match the boiling point characteristics of the solvent to avoid excessive vaporization of the solvent due to too low pressure or exceeding the corresponding range of the boiling point due to too high pressure, which may damage the process balance. It is also related to the thermal decomposition temperature. The vacuum degree is associated with the system temperature control. If the vacuum degree is abnormal and causes the temperature to deviate, the temperature in the tower may approach or exceed the thermal decomposition temperature, leading to decomposition risks. It is also related to the pressure safety range. The preset safety range needs to be within the pressure safety range allowed by the equipment to ensure that the vacuum degree not only meets the process requirements but also does not exceed the pressure resistance limit of the equipment, guaranteeing the operation safety.

[0059] Among them, the normal current range of the current data is associated with the pressure safety range and the boiling point-pressure curve. Pressure fluctuations affect the pump load and easily cause current changes. Abnormal pressure may trigger changes in the solvent vaporization amount, indirectly affecting the pump power. The normal vibration range of the vibration data is associated with the pressure safety range. Pressure fluctuations may cause abnormal vibration of the pump body.

[0060] Among them, the normal cooling temperature range of the cooling water temperature is associated with the thermal decomposition temperature, and it is necessary to ensure that the solvent temperature after cooling is lower than the decomposition threshold. It is also related to the boiling point-pressure curve, and the cooling effect is adjusted according to the boiling point of the solvent under the current pressure.

[0061] Among them, the normal bottom temperature range of the bottom temperature of the tower is related to the boiling point-pressure curve, directly determining the boiling point of the solvent under a specific pressure. It is also related to the thermal decomposition temperature. The upper limit of the bottom temperature must be much lower than the decomposition temperature. It is also related to the thermal sensitivity coefficient. Solvents with high sensitivity require a more strict temperature fluctuation range control.

[0062] Among them, the normal circulating water volume range of the vacuum pump is related to the pressure safety range. Insufficient water volume may lead to a decrease in pump efficiency and pressure out of control.

[0063] Among them, the normal flow range of the cooling water flow is related to the boiling point-pressure curve, and it is necessary to match the vaporization amount of the solvent under the current pressure to ensure the condensation effect. It is also related to the thermal sensitivity coefficient. Solvents with high sensitivity require a larger cooling water flow to reduce temperature fluctuations.

[0064] Among them, the normal feeding range of the feeding amount is related to the boiling point-pressure curve. Excessive feeding amount will exceed the vaporization capacity under the current pressure. It is also related to the pressure safety range. Excessive feeding may cause system pressure fluctuations.

[0065] It can be seen that in the embodiment, through the above-mentioned association mechanism, the physical and chemical properties (basic data) of the high-boiling solvent are converted into quantifiable equipment operation parameter standards, providing a clear logical traceability path for abnormal events, and realizing the scientific setting of process parameters and the accurate prediction of abnormal events.

[0066] Step S405: Determine a vacuum degree recovery strategy according to the at least one abnormal event.

[0067] In some embodiments, determining the vacuum degree recovery strategy according to the at least one abnormal event includes: determining the adjustment order of the at least one abnormal event, and determining the adjustment strategy for each abnormal event according to the operation data and the corresponding normal value range of the operation data; generating the vacuum degree recovery strategy according to the adjustment order and the adjustment strategy.

[0068] In some embodiments, the abnormal event is a vacuum pump failure, and the adjustment strategy is to enable a standby pump; the abnormal event is that the water inflow of the vacuum pump is too low, and the adjustment strategy is to increase the circulating water volume of the vacuum pump; the abnormal event is that the cooling water flow is too low or the cooling water temperature is too high, and the adjustment strategy is to increase the cooling water flow; the abnormal event is that the temperature of the bottom of the tower is too high, and the adjustment strategy is to reduce the flow of heating steam at the bottom of the tower; the abnormal event is that the feed rate is too high, and the adjustment strategy is to reduce the feed rate; the abnormal event is a pipeline leak or a pressure regulating valve failure, and the adjustment strategy is to arrange for manual inspection.

[0069] In some embodiments, the adjustment order is the abnormal event priority order. Generating the vacuum degree recovery strategy according to the adjustment order and the adjustment strategy includes the following steps A1 - A3: Step A1: Adjust according to the adjustment strategy of the target abnormal event with the highest priority among the at least one abnormal event, and adjust the operation data corresponding to the target abnormal event to the normal value range. Step A2: Detect the change of the vacuum degree. Step A3: If the vacuum degree still deviates from the preset safety range, execute the steps of "obtaining the basic data of the high - boiling solvent and the operation data of the distillation separation equipment" and subsequent steps until the vacuum degree recovers to the preset safety range.

[0070] Among them, the abnormal event priority order can be sorted according to one or more of the three principles of the risk degree of the abnormal event, the event dependency relationship, and the recovery efficiency.

[0071] According to the risk level of abnormal events, the events that pose the greatest threat to equipment safety or process stability are given priority. In a possible example, the adjustment order is as follows: high cooling water temperature, vacuum pump failure, low cooling water flow rate, low water intake of the vacuum pump, high feed rate, pipeline leakage, or abnormal pressure regulating valve. Among them, pipeline leakage or abnormal pressure regulating valve requires manual inspection and cannot be directly inspected by the controller. Therefore, other abnormal events are inspected first and then manual inspection is carried out. Among them, a high cooling water temperature may cause the equipment to overheat and deform, and the material to thermally decompose, setting off an explosion risk, with a relatively high risk level; a vacuum pump failure may cause a sharp drop in vacuum degree, affecting the entire process, and may cause mechanical damage to the pump body, with a risk level second only to that of high cooling water temperature; a low cooling water flow rate results in insufficient cooling efficiency, causing the temperature inside the tower to continue to rise, and may cause an equipment overheating risk during long-term operation. Since the impact time is relatively long, the risk level is lower than that of a vacuum pump failure; a low water intake of the vacuum pump affects the cooling and sealing effect of the vacuum pump, may cause wear of the pump body or instability of the vacuum degree, but the failure occurs relatively slowly, so it is lower than that of a low cooling water flow rate; a high feed rate may cause overloading of the material inside the tower, a decrease in evaporation efficiency, and affect the product purity, but there is no direct safety risk, so it is lower than that of a low water intake of the vacuum pump; finally, the pipeline leakage or pressure regulating valve problem is detected.

[0072] According to the dependency relationship between abnormal events, if the solution of event A depends on the handling of event B, then event B is handled first. In a possible example, the adjustment order is as follows: vacuum pump failure, low water intake of the vacuum pump, low cooling water flow rate, high cooling water temperature, high feed rate, pipeline leakage, or abnormal pressure regulating valve.

[0073] Sorted according to the recovery efficiency of abnormal events, in a possible example, the adjustment order is as follows: vacuum pump failure, low water intake of the vacuum pump, low cooling water flow rate, high cooling water temperature, high feed rate, pipeline leakage, or abnormal pressure regulating valve.

[0074] It should be noted that the above sorting principles and adjustment orders are several examples provided by the embodiments of the present application. The present application does not limit the use of other sorting principles for sorting, or the combined use of the above sorting principles for sorting, and the specific arrangement order of abnormal events under each sorting principle can also be flexibly changed. The present application does not limit the adjustment order of the above multiple abnormal events.

[0075] In this embodiment, the target abnormal event with the highest priority is selected from the identified abnormal events, and the corresponding adjustment strategy is executed until the operation data corresponding to the event returns to the normal value range, and then the vacuum degree in the tower is obtained and it is judged whether the vacuum degree has returned to the preset safe range; if it has returned to the preset safe range, the repair process is stopped; if it has not returned, the process diagnosis is restarted (obtaining basic data and operation data → identifying abnormal events → determining priorities → adjustment strategy) until the vacuum degree meets the standard.

[0076] Exemplarily, if the priority order of abnormal events is sorted according to the risk degree of abnormal events, the detected abnormal events and their sorting are: high cooling water temperature, vacuum pump failure, low cooling water flow rate, low water inlet volume of the vacuum pump, high feed volume, pipeline leakage or abnormal pressure regulating valve. The target abnormal event is determined to be high cooling water temperature, and the adjustment strategy for this abnormal event is obtained, that is, increasing the cooling water flow rate to lower the cooling water temperature. After the cooling water temperature returns to the normal cooling temperature range, it is judged whether the vacuum degree has recovered. If not, the operation data is obtained again, the current abnormal event is determined, and the steps after "determining the target abnormal event" are executed again until the vacuum degree returns to the preset safe range.

[0077] Exemplarily, for the high-boiling solvent DMF (thermal decomposition temperature 150 °C, pressure safe range -0.09 MPa to -0.08 MPa); it is detected that the vacuum degree drops to -0.075 MPa (lower than the minimum value -0.08 MPa of the preset safe range), and the following abnormal events are triggered simultaneously: High cooling water temperature (95 °C, normal range ≤ 30 °C) - the highest risk priority; High feed volume (500 L / h, normal range ≤ 300 L / h) - the highest recovery efficiency.

[0078] For step A1: dealing with "high cooling water temperature": check the cooling water flow rate (it is found that the flow rate is as low as 20 m³ / h, normal range ≥ 50 m³ / h), open the cooling water valve to 100% opening to increase the flow rate to 55 m³ / h; start the standby cooling tower synchronously to lower the cooling water inlet temperature to 25 °C. It is detected that the cooling water temperature gradually drops to 28 °C and returns to the normal range.

[0079] For step A2: detecting the vacuum degree: the vacuum degree rises from -0.075 MPa to -0.082 MPa, approaching the lower limit of the preset safe range.

[0080] For step A3: The vacuum degree still fails to reach the standard completely. Iterative diagnosis: Re-obtain the operation data and find a new abnormal event "low water inflow of the vacuum pump" (5 m³ / h, normal range ≥ 10 m³ / h); Determine the new target abnormal event: "low water inflow of the vacuum pump" (with a higher priority than "high feed rate"). The adjustment strategy for "low water inflow of the vacuum pump" is to increase the circulating water volume. Check the water inlet pipe and find that the filter screen is blocked. After cleaning, the water inlet flow rate returns to 12 m³ / h; Finally, the vacuum degree rises to -0.085 MPa, enters the preset safety range, and the diagnosis task ends.

[0081] It can be seen that in this embodiment, the "breakthrough one by one" strategy is adopted, focusing on only one event with the highest priority each time, reducing the coupling interference of multiple parameters, improving the fault location efficiency, and minimizing the safety risk. At the same time, through the closed-loop iterative mechanism (adjustment, detection, re-diagnosis), it is ensured that even if there are potential faults that are not recognized (such as the water inflow problem that appears after the first adjustment in the example), they can be gradually checked until the vacuum degree is restored, avoiding missed judgments.

[0082] In some embodiments, the adjustment order is the synchronous adjustment order. The abnormal events include at least two of the vacuum pump failure, low water inflow of the vacuum pump, low cooling water flow rate, high cooling water temperature, high tower kettle temperature, and high feed rate. Generating the vacuum degree restoration strategy according to the adjustment order and the adjustment strategy includes the following steps B1 - step B4: Step B1, obtain at least two adjustment strategies corresponding to at least two abnormal events among the vacuum pump failure, low water inflow of the vacuum pump, low cooling water flow rate, high cooling water temperature, high tower kettle temperature, and high feed rate; Step B2, make adjustments according to the at least two adjustment strategies, and synchronously adjust the operation data corresponding to the at least two abnormal events to the normal value range; Step B3, detect the change of the vacuum degree; Step B4, if the vacuum degree still deviates from the preset safety range, determine that the abnormal event also includes pipeline leakage or pressure regulating valve failure, and make adjustments according to the adjustment strategy for pipeline leakage or pressure regulating valve failure until the vacuum degree is restored to the preset safety range.

[0083] In this embodiment, when at least two abnormal events are detected, the controller automatically retrieves the adjustment strategies corresponding to each event, forms a strategy set, and executes all strategies in parallel. At the same time, the operation data corresponding to multiple abnormal events is adjusted to the normal value range, avoiding the time loss of processing one by one. After the adjustment is completed, it is detected in real time whether the vacuum degree has risen due to the synchronous adjustment of multiple strategies, and the comprehensive adjustment effect is judged. If the vacuum degree is not restored, it is presumed that there are other faults that need to be manually checked, such as pipeline leakage or pressure regulating valve failure, and the corresponding adjustment strategies are executed accordingly until the vacuum degree reaches the standard.

[0084] It can be seen that in this embodiment, multiple abnormal events are synchronously adjusted to avoid the time delay of processing one by one. When multiple strategies are executed synchronously, the adjustment of each parameter cooperates with each other (for example, while reducing the bottom temperature of the tower, the feed rate is reduced), avoiding the system imbalance caused by single adjustment. After the adjustment of the quantifiable and adjustable conventional abnormalities (flow rate, temperature, feed rate) is completed, through the feedback that the vacuum degree is not restored, it is accurately positioned to the equipment-level faults (pipeline leakage, pressure regulating valve failure, etc.), ensuring full coverage of the fault types, avoiding missed judgments, and improving the fault response speed.

[0085] Step S406: Execute the vacuum degree recovery strategy to restore the vacuum degree to the preset safe range.

[0086] It can be seen that in the embodiment of the present application, the controller of the high-boiling solvent recovery device obtains the vacuum degree of the distillation separation device; detects that the vacuum degree deviates from the preset safe range; obtains the basic data of the high-boiling solvent and the operation data of the distillation separation device, where the operation data includes at least one of the current data, vibration data, circulating water volume of the vacuum pump, cooling water flow rate of the condenser, cooling water temperature, bottom temperature of the distillation separation device, and feed rate of the distillation separation device; determines at least one abnormal event according to the operation data and the normal value range of the preset operation data, where the preset safe range and the normal value range are associated with the basic data; determines the vacuum degree recovery strategy according to at least one abnormal event; and executes the vacuum degree recovery strategy to restore the vacuum degree to the preset safe range. Therefore, compared with the prior art method of only adjusting the vacuum degree in the tower through the pressure regulating valve, when the vacuum degree fluctuation is detected in the present application, a multi-dimensional monitoring network is formed according to the basic data of the high-boiling solvent and various operation data of the distillation separation device, which can quickly locate the root cause of the vacuum degree abnormality, improve the accuracy, comprehensiveness and automation of the vacuum degree abnormality detection, thereby reducing the risk of sudden equipment failure and extending the equipment life.

[0087] The above mainly introduced the solution of the embodiment of the present application from the perspective of the execution process on the method side. It can be understood that in order for the server to implement the above functions, it includes the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments provided in this article, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the way of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0088] The embodiments of the present application can divide the server into functional units according to the above method examples. For example, each functional unit can be divided corresponding to each function, or two or more functions can be integrated into one processing module. The above integrated unit can be implemented in the form of hardware or in the form of a software program module. It should be noted that the division of units in the embodiments of the present application is illustrative, only a logical function division, and there can be other division methods in actual implementation.

[0089] In the case of adopting an integrated unit, please refer to Figure 5 , Figure 5 which is a functional unit structure block diagram of a control device for the in-tower vacuum degree of a high-boiling-point solvent recovery device provided by the embodiment of the present application. As Figure 5 shown, the control device 5 for the in-tower vacuum degree of the high-boiling-point solvent recovery device includes: An acquisition unit 501, configured to acquire the vacuum degree of the distillation separation device; A processing unit 502, configured to detect that the vacuum degree deviates from a preset safe range; The acquisition unit 501 is further configured to acquire the basic data of the high-boiling-point solvent and the operation data of the distillation separation device, where the operation data includes at least one of the current data, vibration data, circulating water volume of the vacuum pump, cooling water flow rate of the condenser, cooling water temperature, tower kettle temperature of the distillation separation device, and feed amount of the distillation separation device; The processing unit 502 is further configured to determine at least one abnormal event according to the operation data and the normal value range of the preset operation data, where the preset safe range and the normal value range are associated with the basic data; and determine a vacuum degree recovery strategy according to the at least one abnormal event; and execute the vacuum degree recovery strategy to make the vacuum degree recover to the preset safe range.

[0090] It can be seen that in the embodiment of the present application, the controller of the high-boiling solvent recovery device acquires the vacuum degree of the distillation separation device; detects that the vacuum degree deviates from the preset safe range; acquires the basic data of the high-boiling solvent and the operation data of the distillation separation device, where the operation data includes at least one of the current data, vibration data, circulating water volume of the vacuum pump, cooling water flow of the condenser, cooling water temperature, tower bottom temperature of the distillation separation device, and feed rate of the distillation separation device; determines at least one abnormal event according to the operation data and the normal value range of the preset operation data, where the preset safe range, normal value range are associated with the basic data; determines a vacuum degree recovery strategy according to at least one abnormal event; and executes the vacuum degree recovery strategy to make the vacuum degree recover to the preset safe range. Therefore, compared with the prior art method of only adjusting the vacuum degree in the tower through a pressure regulating valve, when the vacuum degree fluctuation is detected in the present application, a multi-dimensional monitoring network is formed based on the basic data of the high-boiling solvent and various operation data of the distillation separation device, which can quickly locate the root cause of the abnormal vacuum degree, improve the accuracy, comprehensiveness and automation degree of the abnormal vacuum degree detection, thereby reducing the risk of sudden equipment failure and prolonging the equipment life.

[0091] In some embodiments, when the vacuum degree is lower than the minimum value of the preset safe range, the processing unit 502 determines at least one abnormal event according to the operation data and the normal value range of the preset operation data, including: detecting that the current data deviates from the normal current range, and / or, the vibration data exceeds the maximum value of the normal vibration range, and determining that the abnormal event is a vacuum pump failure; detecting that the circulating water volume of the vacuum pump is lower than the minimum value of the normal circulating water volume range, and determining that the abnormal event is a low water intake of the vacuum pump; detecting that the cooling water flow is lower than the minimum value of the normal flow range, and determining that the abnormal event is a low cooling water flow; detecting that the cooling water temperature exceeds the maximum value of the normal cooling temperature range, and determining that the abnormal event is a high cooling water temperature; detecting that the tower bottom temperature exceeds the maximum value of the normal tower bottom temperature range, and determining that the abnormal event is a high tower bottom temperature; detecting that the feed rate exceeds the maximum value of the normal feed range, and determining that the abnormal event is a high feed rate; detecting that each operation data of the current data, the vibration data, the circulating water volume of the vacuum pump, the cooling water flow, the cooling water temperature, the tower bottom temperature, and the feed rate is within the normal value range, and determining that the abnormal event is a pipeline leak or a pressure regulating valve failure.

[0092] In some embodiments, the basic data includes the boiling point-pressure curve, thermal decomposition temperature, pressure safety range, and thermal sensitivity coefficient of the high-boiling solvent; wherein, the preset safety range is associated with the boiling point-pressure curve, the thermal decomposition temperature, and the pressure safety range; the normal current range is associated with the boiling point-pressure curve and the pressure safety range; the normal vibration range is associated with the pressure safety range; the normal circulating water volume range is associated with the pressure safety range; the normal flow rate range is associated with the boiling point-pressure curve and the thermal sensitivity coefficient; the normal cooling temperature range is associated with the thermal decomposition temperature and the boiling point-pressure curve; the normal bottom temperature range is associated with the boiling point-pressure curve, the thermal decomposition temperature, and the thermal sensitivity coefficient; the normal feed range is associated with the boiling point-pressure curve and the pressure safety range.

[0093] In some embodiments, the processing unit 502 determines a vacuum degree recovery strategy according to the at least one abnormal event, including: determining an adjustment order of the at least one abnormal event, and determining an adjustment strategy for each abnormal event according to the operation data and the normal value range corresponding to the operation data; generating the vacuum degree recovery strategy according to the adjustment order and the adjustment strategy.

[0094] In some embodiments, when the abnormal event is a vacuum pump failure, the adjustment strategy is to enable a standby pump; when the abnormal event is a low water intake of the vacuum pump, the adjustment strategy is to increase the circulating water volume of the vacuum pump; when the abnormal event is a low cooling water flow rate or a high cooling water temperature, the adjustment strategy is to increase the cooling water flow rate; when the abnormal event is a high bottom temperature, the adjustment strategy is to reduce the flow rate of the bottom heating steam; when the abnormal event is a high feed rate, the adjustment strategy is to reduce the feed rate; when the abnormal event is a pipeline leak or a pressure regulating valve failure, the adjustment strategy is to arrange for manual inspection.

[0095] In some embodiments, the adjustment order is the abnormal event priority order. The processing unit 502 generates the vacuum degree recovery strategy according to the adjustment order and the adjustment strategy, including: adjusting according to the adjustment strategy of the target abnormal event with the highest priority among the at least one abnormal event, and adjusting the operation data corresponding to the target abnormal event to the normal value range; detecting the change of the vacuum degree; if the vacuum degree still deviates from the preset safety range, execute the steps of "obtaining the basic data of the high-boiling solvent and the operation data of the distillation separation device" and subsequent steps until the vacuum degree is restored to the preset safety range.

[0096] In some embodiments, the adjustment sequence is a synchronous adjustment sequence, and the abnormal events include at least two of the vacuum pump failure, the low water intake of the vacuum pump, the low cooling water flow rate, the high cooling water temperature, the high column bottom temperature, and the high feed rate. The processing unit 502 generates the vacuum degree recovery strategy according to the adjustment sequence and the adjustment strategy, including: obtaining at least two adjustment strategies corresponding to at least two abnormal events among the vacuum pump failure, the low water intake of the vacuum pump, the low cooling water flow rate, the high cooling water temperature, the high column bottom temperature, and the high feed rate; adjusting according to the at least two adjustment strategies, and synchronously adjusting the operation data corresponding to the at least two abnormal events to the normal value range; detecting the change of the vacuum degree; if the vacuum degree still deviates from the preset safe range, determining that the abnormal event further includes pipeline leakage or pressure regulating valve failure, and adjusting according to the adjustment strategy for pipeline leakage or pressure regulating valve failure until the vacuum degree is restored to the preset safe range.

[0097] The embodiments of the present application provide a computer-readable storage medium, on which computer programs / instructions are stored. When the computer programs / instructions are executed by a processor, the steps of any possible embodiment method are implemented.

[0098] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present application is not limited by the described action sequence, because according to the present application, certain steps can be adopted in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0099] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0100] In several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the above division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical or other form.

[0101] The units described above as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] In addition, in each embodiment of the present application, the various functional units may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0103] If the above integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the above methods in each embodiment of the present application. The aforementioned memory includes: USB flash drives, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), mobile hard disks, magnetic disks, or optical discs and other media that can store program codes.

[0104] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. This program can be stored in a computer-readable memory. The memory can include: flash drives, read-only memories (abbreviation: ROM), random access memories (abbreviation: RAM), magnetic disks, or optical discs, etc.

[0105] The above has introduced the embodiments of the present application in detail. Specific examples are used in this article to elaborate on the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A control method for the in-tower vacuum degree of a high-boiling solvent recovery device, characterized in that, A controller applied to the high-boiling solvent recovery device, the high-boiling solvent recovery device further comprising at least one distillation separation device, each distillation separation device including a tower body, a vacuum module, a condensation module, and a reboiler heating module, the vacuum module including a vacuum pump and a pressure regulating valve, the condensation module including a condenser, the vacuum pump being used to provide vacuum power, the pressure regulating valve being connected to the outlet pipe of the vacuum pump, and controlling the pressure inside the tower by adjusting the opening degree, the reboiler heating module being used to provide the heat required for evaporation, and the condenser being used to condense the high-boiling solvent vapor inside the tower; the method includes: Obtain the vacuum degree of the distillation separation device; Detect that the vacuum degree deviates from the preset safety range; Obtain the basic data of the high-boiling solvent and the operation data of the distillation separation device, the operation data including at least one of the current data, vibration data, circulating water volume of the vacuum pump, cooling water flow rate of the condenser, cooling water temperature, reboiler temperature of the distillation separation device, and feed rate of the distillation separation device; Determine at least one abnormal event according to the operation data and the normal value range of the preset operation data, the preset safety range and the normal value range being associated with the basic data; Determine a vacuum degree recovery strategy according to the at least one abnormal event; Execute the vacuum degree recovery strategy so that the vacuum degree is restored to the preset safety range.

2. The method according to claim 1, wherein When the vacuum degree is lower than the minimum value of the preset safety range, the determining at least one abnormal event according to the operation data and the normal value range of the preset operation data includes: Detect that the current data deviates from the normal current range, and / or the vibration data exceeds the maximum value of the normal vibration range, and determine that the abnormal event is a vacuum pump failure; Detect that the circulating water volume of the vacuum pump is lower than the minimum value of the normal circulating water volume range, and determine that the abnormal event is a low water intake of the vacuum pump; Detect that the cooling water flow rate is lower than the minimum value of the normal flow rate range, and determine that the abnormal event is a low cooling water flow rate; Detect that the cooling water temperature exceeds the maximum value of the normal cooling temperature range, and determine that the abnormal event is a high cooling water temperature; Detect that the reboiler temperature exceeds the maximum value of the normal reboiler temperature range, and determine that the abnormal event is a high reboiler temperature; Detect that the feed rate exceeds the maximum value of the normal feed range, and determine that the abnormal event is a high feed rate; Detect that each operation data of the current data, the vibration data, the circulating water volume of the vacuum pump, the cooling water flow rate, the cooling water temperature, the reboiler temperature, and the feed rate is within the normal value range, and determine that the abnormal event is a pipeline leak or a pressure regulating valve failure.

3. The method according to claim 2, wherein The basic data includes the boiling point-pressure curve, thermal decomposition temperature, pressure safety range, and thermal sensitivity coefficient of the high-boiling solvent; wherein, The preset safety range is associated with the boiling point-pressure curve, the thermal decomposition temperature, and the pressure safety range; The normal current range is associated with the boiling point-pressure curve and the pressure safety range; The normal vibration range is associated with the pressure safety range; The normal circulating water volume range is associated with the pressure safety range; The normal flow rate range is associated with the boiling point - pressure curve and the thermal sensitivity coefficient; The normal cooling temperature range is associated with the thermal decomposition temperature and the boiling point - pressure curve; The normal bottom temperature range is associated with the boiling point - pressure curve, the thermal decomposition temperature, and the thermal sensitivity coefficient; The normal feed range is associated with the boiling point - pressure curve and the pressure safety range.

4. The method according to claim 2, wherein Determining the vacuum degree recovery strategy according to the at least one abnormal event includes: Determining the adjustment order of the at least one abnormal event, and determining the adjustment strategy for each abnormal event according to the operation data and the corresponding normal value range of the operation data; Generating the vacuum degree recovery strategy according to the adjustment order and the adjustment strategy.

5. The method according to claim 4, characterized in that The abnormal event is a vacuum pump failure, and the adjustment strategy is to enable a standby pump; The abnormal event is that the water intake of the vacuum pump is too low, and the adjustment strategy is to increase the circulating water volume of the vacuum pump; The abnormal event is that the cooling water flow rate is too low or the cooling water temperature is too high, and the adjustment strategy is to increase the cooling water flow rate; The abnormal event is that the bottom temperature is too high, and the adjustment strategy is to reduce the flow rate of the bottom heating steam; The abnormal event is that the feed rate is too high, and the adjustment strategy is to reduce the feed rate; The abnormal event is a pipeline leak or a pressure regulating valve failure, and the adjustment strategy is to arrange for manual inspection.

6. The method according to claim 4, wherein The adjustment order is the abnormal event priority order. Generating the vacuum degree recovery strategy according to the adjustment order and the adjustment strategy includes: Adjusting according to the adjustment strategy of the target abnormal event with the highest priority among the at least one abnormal event, and adjusting the operation data corresponding to the target abnormal event to the normal value range; Detecting the change of the vacuum degree; If the vacuum degree still deviates from the preset safety range, then execute "obtaining the basic data of the high - boiling - point solvent and the operation data of the distillation separation equipment" and the subsequent steps until the vacuum degree is restored to the preset safety range.

7. The method according to claim 4, wherein The adjustment order is the synchronous adjustment order. The abnormal events include at least two of the vacuum pump failure, the low water intake of the vacuum pump, the low cooling water flow rate, the high cooling water temperature, the high bottom temperature, and the high feed rate. Generating the vacuum degree recovery strategy according to the adjustment order and the adjustment strategy includes: Obtaining at least two adjustment strategies corresponding to at least two of the abnormal events of the vacuum pump failure, the low water intake of the vacuum pump, the low cooling water flow rate, the high cooling water temperature, the high bottom temperature, and the high feed rate; Adjusting according to the at least two adjustment strategies, and synchronously adjusting the operation data corresponding to the at least two abnormal events to the normal value range; Detecting the change of the vacuum degree; If the degree of vacuum still deviates from the preset safe range, it is determined that the abnormal event further includes pipeline leakage or pressure regulating valve failure, and adjustments are made according to the adjustment strategies for pipeline leakage or pressure regulating valve failure until the degree of vacuum is restored to the preset safe range.

8. A control device for the in-tower vacuum degree of a high-boiling-point solvent recovery device, characterized in that, A controller applied to the high-boiling solvent recovery device, the high-boiling solvent recovery device further includes at least one distillation separation device, each distillation separation device includes a tower body, a vacuum module, a condensation module, and a reboiler heating module, the vacuum module includes a vacuum pump and a pressure regulating valve, the condensation module includes a condenser, the vacuum pump is used to provide vacuum power, the pressure regulating valve is connected to the vacuum pump outlet pipeline, and the pressure inside the tower is controlled by opening adjustment, the reboiler heating module is used to provide the heat required for evaporation, and the condenser is used to condense the high-boiling solvent vapor inside the tower; the device includes: An acquisition unit for acquiring the degree of vacuum of the distillation separation device; A processing unit for detecting that the degree of vacuum deviates from the preset safe range; The acquisition unit is further used to acquire the basic data of the high-boiling solvent and the operation data of the distillation separation device, and the operation data includes at least one of the current data, vibration data, circulating water volume of the vacuum pump, cooling water flow rate of the condenser, cooling water temperature, reboiler temperature of the distillation separation device, and feed rate of the distillation separation device; The processing unit is further used to determine at least one abnormal event according to the operation data and the normal value range of the preset operation data, the preset safe range and the normal value range are associated with the basic data; and, determine a vacuum degree recovery strategy according to the at least one abnormal event; and, execute the vacuum degree recovery strategy to make the degree of vacuum restored to the preset safe range.

9. A high-boiling solvent recovery device, characterized in that The high-boiling solvent recovery device controller and at least one distillation separation device, each distillation separation device includes a tower body, a vacuum module, a condensation module, and a reboiler heating module, the vacuum module includes a vacuum pump and a pressure regulating valve, the condensation module includes a condenser, the vacuum pump is used to provide vacuum power, the pressure regulating valve is connected to the vacuum pump outlet pipeline, and the pressure inside the tower is controlled by opening adjustment, the reboiler heating module is used to provide the heat required for evaporation, and the condenser is used to condense the high-boiling solvent vapor inside the tower; The controller is used to execute the step instructions in any one of the methods in claims 1-7.

10. A controller, characterized in that, It includes a processor and a memory, and a computer program is stored in the memory. When the processor calls the computer program in the memory, it executes the step instructions in any one of the methods in claims 1-7.

Images