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

Abstract

The present application provides a method and device for controlling the vacuum degree in a tower based on a high-boiling-point solvent recovery device. 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 a preset safety interval; obtains basic data of the high-boiling-point solvent and operating data of the distillation separation device; determines at least one abnormal event based on the operating data and the normal numerical range of the preset operating data; determines a vacuum degree recovery strategy based on at least one abnormal event; and executes the vacuum degree recovery strategy to restore the vacuum degree to the preset safety interval. Therefore, when the present application detects vacuum degree fluctuations, it forms a multi-dimensional monitoring network based on the basic data of the high-boiling-point solvent and the various operating data of the distillation separation device, which can quickly locate the root cause of the vacuum degree anomaly, thereby improving the accuracy, comprehensiveness and automation of vacuum degree anomaly detection, thereby reducing the risk of sudden equipment failure and extending the life of the equipment.

Description

Technical Field

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

[0002] When recovering high-boiling-point solvents, pressure significantly affects their boiling point. A drop in vacuum or abnormal fluctuations can disrupt the gas-liquid equilibrium within the tower, interfering with separation processes like distillation and evaporation. In existing technologies, vacuum fluctuations within recovery towers are typically controlled using a pressure regulating valve. This single control method fails to effectively identify the factors influencing the vacuum fluctuations. Summary of the Invention

[0003] The present application provides a method and device for controlling the vacuum degree in a tower based on a high-boiling-point solvent recovery device. When vacuum fluctuations are 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. The root cause of the vacuum abnormality can be quickly located, thereby improving the accuracy, comprehensiveness and automation of vacuum abnormality detection, thereby reducing the risk of sudden equipment failure and extending the equipment life.

[0004] In the first aspect, an embodiment of the present application provides a method for controlling the vacuum degree in a tower 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 also includes at least one distillation separation device, each of which 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 vacuum pump outlet pipe and controls the pressure in the tower by adjusting the opening. 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 degree; detecting that the vacuum degree deviates from a preset safety interval; obtaining basic data of the high-boiling-point solvent and operating data of the distillation separation equipment, wherein the operating data include 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 equipment, and at least one of the feed volume of the distillation separation equipment; determining at least one abnormal event based on the operating data and a preset normal value interval of the operating data, wherein the preset safety interval and the normal value interval are associated with the basic data; determining a vacuum degree recovery strategy based on the at least one abnormal event; executing the vacuum degree recovery strategy to restore the vacuum degree to the preset safety interval.

[0005] In the second aspect, an embodiment of the present application provides a control device for the vacuum degree in a tower 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 also 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 vacuum pump outlet pipe and controls the pressure in the tower by adjusting the opening. The tower kettle heating module is used to provide the heat required for evaporation, and the condenser is used to condense the high-boiling-point solvent vapor in the tower. The device includes: an acquisition unit for acquiring the vacuum degree of the distillation separation device; a processing unit for detecting the vacuum power; The vacuum degree deviates from the preset safety interval; the acquisition unit is further used to obtain basic data of the high-boiling-point solvent and operating data of the distillation separation equipment, and the operating data include current data, vibration data, circulating water volume of the vacuum pump, cooling water flow of the condenser, cooling water temperature, bottom temperature of the distillation separation equipment, and at least one of the feed amount of the distillation separation equipment; the processing unit is further used to determine at least one abnormal event based on the operating data and the preset normal numerical range of the operating data, and the preset safety interval and the normal numerical range are associated with the basic data; and, determine a vacuum recovery strategy based on the at least one abnormal event; and, execute the vacuum recovery strategy to restore the vacuum degree to the preset safety interval.

[0006] In the third aspect, an embodiment of the present application provides a high-boiling-point solvent recovery device, the high-boiling-point solvent recovery device controller and at least one distillation separation equipment, each distillation separation equipment includes a tower body, a vacuum module, a condensation module, and a tower bottom 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 pipe, and the pressure in the tower is controlled by adjusting the opening, the tower bottom heating module is used to provide the heat required for evaporation, and the condenser is used to condense the high-boiling-point solvent vapor in the tower; the controller is used to execute the step instructions in any method in the first aspect.

[0007] In a fourth aspect, an embodiment of the present application provides a controller comprising a processor and a memory, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, it executes the step instructions in the method as described in any one of the first aspects.

[0008] As can be seen, 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 a preset safety range; obtains basic data of the high-boiling-point solvent and operating data of the distillation separation device, the operating 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, tower bottom temperature of the distillation separation device, and feed rate of the distillation separation device; determines at least one abnormal event based on the operating data and the normal value range of the preset operating data, wherein the preset safety range and the normal value range are associated with the basic data; determines a vacuum recovery strategy based on the at least one abnormal event; and executes the vacuum recovery strategy to restore the vacuum degree to the preset safety range. Therefore, compared with the prior art method of adjusting the vacuum degree in the tower only by a pressure regulating valve, the present application forms a multi-dimensional monitoring network based on the basic data of the high-boiling-point solvent and various operating data of the distillation separation device when vacuum fluctuations are detected, which can quickly locate the root cause of the vacuum degree anomaly, thereby improving the accuracy, comprehensiveness and automation of vacuum degree anomaly detection, thereby reducing the risk of sudden equipment failure and extending the life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 A structural block diagram of a high boiling point recovery device provided in an embodiment of the present application;

[0011] Figure 2 A structural block diagram of a controller provided in an embodiment of the present application;

[0012] Figure 3 A structural block diagram of a distillation separation device provided in an embodiment of the present application;

[0013] Figure 4 A schematic flow chart 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;

[0014] Figure 5 This is a functional unit structural block diagram of a device 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. DETAILED DESCRIPTION

[0015] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0016] The terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish between different objects, not to describe a particular order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements, but may, in some embodiments, also include steps or elements not listed, or may, in some embodiments, include other steps or elements inherent to the process, method, product, or apparatus.

[0017] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0018] In the embodiments of this application, "and / or" describes the relationship between 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; and B exists alone. A and B can be singular or plural.

[0019] In the embodiments of the present application, the symbol " / " can indicate that the preceding and following objects are in an "or" relationship. In addition, the symbol " / " can also represent a division sign, that is, performing a division operation. For example, A / B can mean A divided by B.

[0020] In the embodiments of the present application, "at least one item" or similar expressions refers to any combination of these items, including any combination of single items or plural items, and refers to one or more, and multiple refers to two or more. For example, at least one item (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.

[0021] In the embodiments of this application, "equal to" can be used in conjunction with "greater than" and is applicable to the technical solution adopted when "greater than" is used, and can also be used in conjunction with "less than" and is applicable to the technical solution adopted when "less than" is used. When "equal to" is used in conjunction with "greater than", it should not be used in conjunction with "less than"; when "equal to" is used in conjunction with "less than", it should not be used in conjunction with "greater than".

[0022] In order to solve the above technical problems, the present application provides a method and device for controlling the vacuum degree in a tower based on a high-boiling-point solvent recovery device. When vacuum fluctuations are detected, a multi-dimensional monitoring network is formed based on the basic data of the high-boiling-point solvent and the various operating data of the distillation separation equipment. The root cause of the vacuum abnormality can be quickly located, thereby improving the accuracy, comprehensiveness and automation of vacuum abnormality detection, thereby reducing the risk of sudden equipment failure and extending the equipment life.

[0023] The following specific embodiments describe in detail the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems. The following specific embodiments 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 in conjunction with the accompanying drawings.

[0024] See also Figure 1 , Figure 1 The structural block diagram of the high boiling point recovery device provided in the embodiment of the present application is as follows: Figure 1 As 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 .

[0025] Among them, the controller 20 is used to obtain the operating status of each distillation separation equipment 10, and perform data processing and analysis on the operating status, wherein the operating status includes but is not limited to the vacuum degree in the tower and the operating data of other devices and modules in the distillation separation equipment 10, and the processing and analysis process includes but is not limited to determining whether the vacuum degree in the distillation separation equipment 10 is abnormal based on the operating status, and generating a vacuum recovery strategy based on the operating data when the vacuum degree deviates from the preset safety range.

[0026] For specific implementation, see Figure 2 , Figure 2 A structural block diagram of a controller provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, the controller 20 includes a processor 201, a memory 203, a communication interface 202, and one or more programs 2031. The one or more programs 2031 are stored in the memory 203 and configured to be executed by the processor 201. The one or more programs 2031 include instructions for executing any step in an embodiment of a multi-stage speed control method for powder metering and discharging described below.

[0027] It should be noted that in the examples of this application, the high-boiling-point solvent has a high boiling point at conventional atmospheric pressure, and direct heating recovery requires high-temperature conditions. High-temperature conditions not only easily cause the high-boiling-point solvent to directly decompose, but also consume a large amount of heat energy, resulting in low energy efficiency. Furthermore, at high temperatures, the liquid surface vapor pressure is low, the evaporation rate is slow, and the recovery efficiency is low. Furthermore, high-temperature environments can easily exacerbate equipment corrosion and coking, making it difficult to maintain equipment.

[0028] Therefore, when recovering high-boiling-point solvents, the physical properties of the solvent are usually changed by reducing the ambient pressure, thereby solving the efficiency, energy consumption and material stability problems in the conventional atmospheric pressure recovery process.

[0029] Specifically, based on the Clausius-Clapeyron equation, the boiling point of a liquid is positively correlated with ambient pressure: the lower the pressure, the lower the boiling point. A vacuum pump evacuates the air from the tower, creating a negative pressure environment. Because the boiling point is lowered in a vacuum environment, high-boiling-point solvents can be vaporized when heated in the tower bottom without reaching their boiling point at atmospheric pressure.

[0030] For example, to recover DMF (dimethylformamide, boiling point 153°C at normal pressure), if atmospheric distillation requires heating to above 160°C, DMF easily decomposes above 140°C to produce toxic gases. Under a vacuum of -90kPa, the boiling point of DMF drops by about 80°C, making it safe for recovery.

[0031] Among them, vacuum degree = atmospheric pressure - absolute air pressure in the tower. When the absolute air pressure in the tower increases, the vacuum degree in the tower decreases. When the absolute air pressure in the tower decreases, the vacuum degree in the tower increases.

[0032] Among them, see Figure 3 , Figure 3 A structural block diagram of a distillation separation device provided in an embodiment of the present application is shown in FIG. Figure 3 As 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, wherein 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 cooling circulating water. Water outage or low water volume will cause the pump body temperature to rise and performance to decline, resulting in reduced suction capacity and increased pressure in the tower. The pressure regulating valve is connected to the vacuum pump outlet pipe, and the pressure in the tower is controlled by adjusting the opening 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-point solvent vapor in the tower.

[0033] Among them, the working process of the distillation separation equipment is as follows:

[0034] Step 1: Filter the high-boiling point solvent waste liquid to remove solid impurities, heat it to 50-60°C in a preheater (to reduce the heat load on the tower kettle), and feed it into the middle of the tower body (feed plate position) by a feed pump.

[0035] Step 2: Start the vacuum pump and gradually reduce the pressure in the tower to the target negative pressure.

[0036] Step 3: The tower kettle is heated, and the high boiling point solvent and water evaporate to form steam, which rises along the tower.

[0037] In step 4, the steam and the reflux liquid coming down from above come into contact on the tower packing surface. The high-boiling-point solvent vapor cools and partially liquefies, while the low-concentration water component continues to rise. Through multiple "evaporation-condensation" steps, 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 away, and the high-boiling-point solvent concentration in the bottoms of the tower is reduced to below 5%.

[0038] In step 5, the overhead vapor enters a condenser, where it is condensed into a liquid state and flows into a separator. Because the miscibility of the high-boiling-point solvent with water decreases with decreasing temperature, the liquid in the separator separates into two layers: the upper layer, the aqueous phase (containing 2%-5% high-boiling-point solvent, the remainder water), is discharged into a wastewater treatment system; the lower layer, the high-boiling-point solvent phase (containing 98%-99% high-boiling-point solvent, with a small amount of water), is pumped to other distillation separation equipment for further purification or direct reuse.

[0039] It is understandable 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 may of course also include other devices or components, and the present application does not limit this.

[0040] 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 is proposed in an embodiment of the present application.

[0041] See also Figure 4 , Figure 4 A flow chart 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 shown as follows: Figure 4 As shown, the method is applied to Figure 1 In the controller 20 shown, the method includes the following steps S401 to S406:

[0042] Step S401: obtaining the vacuum degree of the distillation separation equipment.

[0043] Step S402: detecting that the vacuum degree deviates from a preset safety range.

[0044] Vacuum deviations from the preset safety range include situations where the actual vacuum level in the tower exceeds the maximum value of the preset safety range, or where the actual vacuum level falls below the minimum value of the preset safety range. Excessive and insufficient vacuum levels correspond to different abnormal conditions and adjustment strategies, which are explained below.

[0045] Step S403: acquiring basic data of the high-boiling-point solvent and operating data of the distillation separation equipment.

[0046] 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, bottom temperature of the distillation separation equipment, and feed volume of the distillation separation equipment.

[0047] The vacuum pump's operating status is determined by its current and vibration data, confirming any inherent faults, such as motor overload or impeller wear. Current and vibration data directly reflect the equipment's mechanical load, internal wear, and operational stability.

[0048] Specifically, the current data is normally stable within the range of ±10% of the rated value. A sudden increase in current may be due to bearing jamming or blade blockage. A sudden drop in current may be due to coupling breakage or internal leakage.

[0049] Excessively high vibration data may be due to damage to the vacuum pump bearing, unbalanced impeller, or shaft bending.

[0050] In some embodiments, current and vibration data are combined to identify vacuum pump anomalies. For example, if current increases and the vibration frequency reaches a high-frequency peak, bearing damage can be confirmed. This combined analysis of current and vibration data can reduce the possibility of misdiagnosis and improve fault diagnosis accuracy.

[0051] Among them, the operating status of the condenser is judged by the cooling water flow and cooling water temperature. High cooling water temperature or low flow will reduce the cooling effect of the condenser, making it impossible to fully condense the high-boiling point solvent vapor, accumulating in the tower, causing the pressure to rise and the vacuum degree to decrease.

[0052] Among them, the vacuum pump's suction capacity depends on the amount of circulating water in the vacuum pump. Water outage or low water volume will cause the pump body temperature to rise and performance to decline, resulting in reduced suction capacity, increased pressure in the tower, and decreased vacuum degree.

[0053] Among them, the tower kettle temperature determines the evaporation efficiency of high-boiling-point solvent waste liquid. If the tower kettle is heated too quickly or the temperature is too high, the high-boiling-point solvent waste liquid will vaporize too quickly, the steam volume will exceed the condenser processing capacity, and part of the steam will not be condensed in time, resulting in an increase in the pressure in the tower and a decrease in the vacuum degree.

[0054] Among them, if the feed amount of the distillation separation equipment is too large, it will lead to an increase in the material in the tower, an increase in the amount of steam generated by vaporization, and exceed the condenser load, resulting in an increase in pressure and a decrease in vacuum.

[0055] Step S404: determining at least one abnormal event according to the operating data and a preset normal value range of the operating data.

[0056] The preset safety interval and the normal value interval are associated with the basic data.

[0057] In some embodiments, the vacuum degree is lower than the minimum value of the preset safety interval, and the determining of at least one abnormal event based on the operating data and the normal numerical value interval of the preset operating data includes: detecting that the current data deviates from the normal current interval, and / or that the vibration data exceeds the maximum value of the normal vibration interval, 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 interval, determining that the abnormal event is low water intake of the vacuum pump; detecting that the cooling water flow is lower than the minimum value of the normal flow volume interval, determining that the abnormal event is low cooling water flow; detecting that the cooling water flow is lower than the minimum value of the normal flow volume interval, determining that the abnormal event is low cooling water flow; detecting that the cooling water flow is lower than the minimum value of the normal flow volume interval, determining that the abnormal event is low cooling water flow; When the cooling water temperature exceeds the maximum value of the normal cooling temperature range, the abnormal event is determined to be the high cooling water temperature; when the tower bottom temperature is detected to exceed the maximum value of the normal tower bottom temperature range, the abnormal event is determined to be the high tower bottom temperature; when the feed amount is detected to exceed the maximum value of the normal feed range, the abnormal event is determined to be the high feed amount; when it is detected that each operating data among the current data, the vibration data, the vacuum pump circulating water volume, the cooling water flow, the cooling water temperature, the tower bottom temperature, and the feed amount is within the normal value range, the abnormal event is determined to be a pipeline leakage or a pressure regulating valve failure.

[0058] Among them, when all operating data are normal but the vacuum degree is still abnormal, the root cause of the fault may also be system sealing problems (pipeline leakage) or failure of the pressure control element (pressure regulating valve failure), resulting in the infiltration of external air or loss of pressure regulation.

[0059] It can be seen that in this embodiment, through cross-validation of multi-dimensional operating data (current, vibration, temperature, etc.), misjudgment of a single parameter is avoided, the accuracy of fault location is improved, and accurate tracing from "parameter anomaly" to "root cause of the fault" is achieved.

[0060] In some embodiments, the basic data includes the boiling point-pressure curve, thermal decomposition temperature, pressure safety interval, and thermal sensitivity coefficient of the high-boiling point solvent; wherein the preset safety interval is associated with the boiling point-pressure curve, the thermal decomposition temperature, and the pressure safety interval; the normal current interval is associated with the boiling point-pressure curve and the pressure safety interval; the normal vibration interval is associated with the pressure safety interval; the normal circulating water volume interval is associated with the pressure safety interval; the normal flow rate interval is associated with the boiling point-pressure curve and the thermal sensitivity coefficient; the normal cooling temperature interval is associated with the thermal decomposition temperature and the boiling point-pressure curve; the normal bottom temperature interval is associated with the boiling point-pressure curve, the thermal decomposition temperature, and the thermal sensitivity coefficient; and the normal feed interval is associated with the boiling point-pressure curve and the pressure safety interval.

[0061] Among them, different high-boiling-point solvents have different basic data. The boiling point-pressure curve determines the volatilization temperature of the solvent under different vacuum degrees, which in turn affects the normal range of the tower bottom temperature and the cooling water temperature. The thermal decomposition temperature refers to the temperature at which the high-boiling-point solvent begins to undergo irreversible chemical decomposition during the heating process. The solvent will undergo chemical deterioration if it exceeds the thermal decomposition temperature (such as DMF will significantly decompose above 150°C), so the tower bottom temperature, cooling water temperature and other ranges need to be much lower than this threshold. If the temperature approaches the thermal decomposition temperature (such as set at 80%-90% of the thermal decomposition temperature), an alarm must be triggered to avoid decomposition and the generation of impurities or safety risks. If the cooling water temperature is too high, the condenser efficiency will decrease, and the solvent vapor cannot be condensed in time, which may increase the pressure in the tower, indirectly causing the temperature to run away and approach the thermal decomposition temperature.

[0062] In a distillation system, if thermal decomposition produces gases, there is a risk of explosion. The general safe operating 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 (decomposition temperature ± 10°C), the system is in a high-risk state, and 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, requiring emergency pressure relief and the filling of the tower with nitrogen to suppress the decomposition reaction.

[0063] The pressure safety range must be between the critical vacuum and atmospheric pressure to ensure stable distillation. The critical vacuum refers to the pressure threshold at which the solvent begins to undergo unstable vaporization (such as boiling).

[0064] Thermal sensitivity coefficient refers to the sensitivity of high-boiling-point solvents to temperature control adjustments. Solvents with high thermal sensitivity coefficients are more sensitive to temperature fluctuations, and the normal range of temperature parameters needs to be narrowed (such as ±5°C). Conversely, the normal range of temperature parameters of solvents with low thermal sensitivity coefficients can be relaxed (such as ±10°C).

[0065] Among them, the preset safety interval of 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 too high pressure exceeding the corresponding range of the boiling point, thereby destroying the process balance; it is also related to the thermal decomposition temperature. The vacuum degree is related to 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, causing decomposition risks; it is also related to the pressure safety interval. The preset safety interval must be within the pressure safety range allowed by the equipment to ensure that the vacuum degree meets the process requirements without exceeding the pressure limit of the equipment, thereby ensuring safe operation.

[0066] The normal current range of current data is associated with the pressure safety range and the boiling point-pressure curve. Pressure fluctuations affect pump load and can easily lead to current changes. Abnormal pressure can cause changes in solvent vaporization, indirectly affecting pump power. The normal vibration range of vibration data is associated with the pressure safety range, and pressure fluctuations can cause abnormal pump vibration.

[0067] Among them, the normal cooling temperature range of the cooling water temperature is related to 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.

[0068] Among them, the normal bottom temperature range of the tower bottom temperature is related to the boiling point-pressure curve, which directly determines the boiling point of the solvent under a specific pressure; it is also related to the thermal decomposition temperature, and the upper limit of the bottom temperature must be much lower than the decomposition temperature; it is also related to the thermal sensitivity coefficient, and highly sensitive solvents require more stringent control of the temperature fluctuation range.

[0069] 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 decreased pump efficiency and pressure out of control.

[0070] Among them, the normal flow range of cooling water flow is related to the boiling point-pressure curve, and needs 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. Highly sensitive solvents require a larger cooling flow to reduce temperature fluctuations.

[0071] Among them, the normal feed range of feed amount is related to the boiling point-pressure curve. Excessive feed amount will exceed the vaporization capacity under the current pressure; it is also related to the pressure safety range. Excessive feed may cause system pressure fluctuations.

[0072] It can be seen that in the embodiment, through the above-mentioned association mechanism, the physicochemical properties (basic data) of the high-boiling-point solvent are converted into quantifiable equipment operating parameter standards, providing a clear logical traceability path for abnormal events, and realizing the scientific setting of process parameters and accurate prediction of abnormal events.

[0073] Step S405: determining a vacuum recovery strategy according to the at least one abnormal event.

[0074] In some embodiments, determining the vacuum recovery strategy based on the at least one abnormal event includes: determining an adjustment order for the at least one abnormal event, and determining an adjustment strategy for each abnormal event based on the operating data and a normal numerical range corresponding to the operating data; and generating the vacuum recovery strategy according to the adjustment order and the adjustment strategy.

[0075] In some embodiments, the abnormal event is a vacuum pump failure, and the adjustment strategy is to activate a standby pump; the abnormal event is a low water intake of the vacuum pump, and the adjustment strategy is to increase the circulating water volume of the vacuum pump; the abnormal event is a low cooling water flow or a high cooling water temperature, and the adjustment strategy is to increase the cooling water flow; the abnormal event is a high bottom temperature, and the adjustment strategy is to reduce the bottom heating steam flow; the abnormal event is a high feed rate, and the adjustment strategy is to reduce the feed rate; the abnormal event is a pipeline leakage or a pressure regulating valve failure, and the adjustment strategy is to arrange manual inspection.

[0076] In some embodiments, the adjustment sequence is an abnormal event priority sequence, and generating the vacuum recovery strategy according to the adjustment sequence and the adjustment strategy includes the following steps A1 to A3:

[0077] Step A1: adjusting the operating data corresponding to the target abnormal event to a normal value range according to the adjustment strategy of the target abnormal event with the highest priority among the at least one abnormal event;

[0078] Step A2, detecting changes in the vacuum degree;

[0079] Step A3: If the vacuum degree still deviates from the preset safety range, execute "obtaining basic data of high-boiling-point solvents and operating data of the distillation separation equipment" and subsequent steps until the vacuum degree returns to the preset safety range.

[0080] The priority order of abnormal events can be sorted according to one or more of the three principles: abnormal event risk level, event dependency, and recovery efficiency.

[0081] Based on the risk level of abnormal events, events that pose the greatest threat to equipment safety or process stability are prioritized. In one example, the order of action is high cooling water temperature, vacuum pump failure, low cooling water flow, low vacuum pump water inlet, high feed rate, pipe leaks, or pressure regulating valve anomalies. Pipe leaks or pressure regulating valve anomalies require manual troubleshooting and cannot be directly checked through the controller. Therefore, manual troubleshooting is performed after troubleshooting other abnormal events. Among them, high cooling water temperature may cause equipment overheating and deformation, thermal decomposition of materials, and the risk of explosion, which is a higher risk; vacuum pump failure may cause a sharp drop in vacuum degree, affecting the entire process and may cause mechanical damage to the pump body, which is the second highest risk; low cooling water flow leads to insufficient cooling efficiency, causing the temperature in the tower to continue to rise, and long-term operation may cause the risk of equipment overheating. Since the impact time process is long, the risk level is second to vacuum pump failure; low vacuum pump water intake affects the cooling and sealing effect of the vacuum pump, which may cause pump body wear or unstable vacuum degree, but the failure is slow to occur, so it is second to low cooling water flow; high feed rate may cause material overload in the tower and reduce evaporation efficiency, affecting product purity, but there is no direct safety risk, so it is second to low vacuum pump water intake; finally, check for pipeline leakage or pressure regulating valve problems.

[0082] According to the dependency relationship between abnormal events, if the resolution of event A depends on the processing of event B, event B should be processed first. In a possible example, the adjustment order is vacuum pump failure, low vacuum pump water inlet, low cooling water flow, high cooling water temperature, high feed volume, pipeline leakage or pressure regulating valve abnormality.

[0083] The recovery efficiency of abnormal events is ranked. In a possible example, the adjustment order is vacuum pump failure, low vacuum pump water inlet, low cooling water flow, high cooling water temperature, high feed volume, pipeline leakage or pressure regulating valve abnormality.

[0084] It should be noted that the above-mentioned sorting principles and adjustment order are just a few examples provided in the embodiments of this application. This application does not limit the use of other sorting principles for sorting, or the combination of the above-mentioned sorting principles for sorting, and the specific arrangement order of abnormal events under each sorting principle can also be flexibly changed. This application does not limit the adjustment order of the above-mentioned multiple abnormal events.

[0085] 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 operating data corresponding to the event returns to the normal value range. The vacuum degree in the tower is obtained, and it is determined whether the vacuum degree has recovered to the preset safety range; if it has recovered to the preset safety range, the repair process is stopped; if it has not recovered, the process diagnosis is restarted (obtaining basic data and operating data → identifying abnormal events → determining priorities → adjusting strategies) until the vacuum degree meets the standard.

[0086] For example, if the priority order of abnormal events is ranked by the risk level of the abnormal events, the detected abnormal events and their ranking are: high cooling water temperature, vacuum pump failure, low cooling water flow, low vacuum pump water inlet, high feed volume, pipeline leakage, or pressure regulating valve abnormality. The target abnormal event is determined to be high cooling water temperature. An adjustment strategy for this abnormal event is obtained: the cooling water flow is increased to lower the cooling water temperature. After the cooling water temperature returns to the normal cooling temperature range, it is determined whether the vacuum level has recovered. If not, the operating data is re-acquired to determine the current abnormal event, and the "determine target abnormal event" and subsequent steps are re-executed until the vacuum level returns to the preset safe range.

[0087] For example, in the case of a high-boiling-point solvent, DMF (thermal decomposition temperature 150°C, pressure safety range -0.09 MPa to -0.08 MPa), the vacuum level is detected to have dropped to -0.075 MPa (lower than the preset minimum safety range of -0.08 MPa), and the following abnormal events are triggered:

[0088] High cooling water temperature (95°C, normal range ≤30°C) – highest risk priority;

[0089] The feed rate is relatively high (500L / h, normal range ≤300L / h) - the recovery efficiency is the highest.

[0090] Regarding step A1: Addressing "High Cooling Water Temperature": Check the cooling water flow rate (it was as low as 20 m³ / h, with a normal range of ≥50 m³ / h). Open the cooling water valve to 100% to increase the flow rate back to 55 m³ / h. Simultaneously, start the backup cooling tower to lower the cooling water inlet temperature to 25°C. The cooling water temperature gradually dropped to 28°C, returning to the normal range.

[0091] For step A2: vacuum degree detection: the vacuum degree rises from -0.075 MPa to -0.082 MPa, which is close to the lower limit of the preset safety range.

[0092] For step A3: the vacuum level still did not meet the standard, iterative diagnosis was performed: operating data was re-acquired, and a new abnormal event, "vacuum pump water inlet is low" (5 m³ / h, normal range ≥ 10 m³ / h), was found. A new target abnormal event, "vacuum pump water inlet is low" (with a higher priority than "feed rate is high"), was determined.

[0093] The adjustment strategy for "low water inlet to the vacuum pump" was to increase the circulating water volume, check the water inlet pipe, and find that the filter was clogged. After cleaning, the water inlet flow rate was restored to 12m³ / h; the vacuum degree finally returned to -0.085MPa, entering the preset safety range, and completing the diagnostic task.

[0094] As can be seen, this embodiment adopts a "one-by-one" strategy, focusing on only one highest-priority event at a time. This reduces interference from multi-parameter coupling, improves fault location efficiency, and minimizes safety risks. Furthermore, through a closed-loop iterative mechanism (adjustment, testing, and re-diagnosis), even unidentified potential faults (such as the water inflow problem after the initial adjustment in the example) can be gradually corrected until the vacuum level is restored, avoiding missed faults.

[0095] In some embodiments, the adjustment sequence is a synchronous adjustment sequence, the abnormal event includes at least two of the following: a vacuum pump failure, low water inlet of the vacuum pump, low cooling water flow, high cooling water temperature, high bottom temperature, and high feed rate. Generating the vacuum degree recovery strategy according to the adjustment sequence and the adjustment strategy includes the following steps B1 to B4:

[0096] Step B1, obtaining at least two adjustment strategies corresponding to at least two abnormal events of the vacuum pump failure, the low water intake of the vacuum pump, the low cooling water flow, the high cooling water temperature, the high bottom temperature, and the high feed amount;

[0097] Step B2: adjusting according to the at least two adjustment strategies, synchronously adjusting the operating data corresponding to the at least two abnormal events to a normal value range;

[0098] Step B3, detecting the change of the vacuum degree;

[0099] In step B4, if the vacuum degree still deviates from the preset safety range, it is determined that the abnormal event also includes the pipeline leakage or the pressure regulating valve failure, and adjustments are made according to the adjustment strategy for the pipeline leakage or the pressure regulating valve failure until the vacuum degree returns to the preset safety range.

[0100] In this embodiment, when at least two abnormal events are detected, the controller automatically retrieves the adjustment strategies corresponding to each event, forming a set of strategies. All strategies are then executed in parallel, simultaneously adjusting the operating data corresponding to multiple abnormal events to a normal range, avoiding the time loss of processing each one individually. After the adjustment is complete, the controller monitors in real time whether the vacuum level has recovered due to the simultaneous adjustment of multiple strategies, and determines the overall effectiveness of the adjustment. If the vacuum level has not recovered, it is presumed that there is another manually detected fault, such as a pipeline leak or a pressure regulating valve failure. The corresponding adjustment strategy is then executed accordingly until the vacuum level reaches the standard.

[0101] As can be seen, in this embodiment, multiple abnormal events are adjusted simultaneously, avoiding the time delay of handling them one by one. When multiple strategies are executed simultaneously, parameter adjustments are coordinated (for example, reducing the reactor temperature while simultaneously reducing the feed rate), preventing system imbalance caused by a single adjustment. After adjusting routine abnormalities (flow rate, temperature, feed rate) that can be adjusted quantitatively (flow rate, temperature, feed rate), feedback from vacuum failure can be used to accurately locate equipment-level faults (such as pipeline leaks and pressure regulating valve failures). This ensures comprehensive coverage of fault types, avoids missed detections, and improves fault response speed.

[0102] Step S406 , executing the vacuum degree recovery strategy to restore the vacuum degree to the preset safety range.

[0103] As can be seen, 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 a preset safety range; obtains basic data of the high-boiling-point solvent and operating data of the distillation separation device, the operating 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, tower bottom temperature of the distillation separation device, and feed rate of the distillation separation device; determines at least one abnormal event based on the operating data and the normal value range of the preset operating data, wherein the preset safety range and the normal value range are associated with the basic data; determines a vacuum recovery strategy based on the at least one abnormal event; and executes the vacuum recovery strategy to restore the vacuum degree to the preset safety range. Therefore, compared with the prior art method of adjusting the vacuum degree in the tower only by a pressure regulating valve, the present application forms a multi-dimensional monitoring network based on the basic data of the high-boiling-point solvent and various operating data of the distillation separation device when vacuum fluctuations are detected, which can quickly locate the root cause of the vacuum degree anomaly, thereby improving the accuracy, comprehensiveness and automation of vacuum degree anomaly detection, thereby reducing the risk of sudden equipment failure and extending the life of the equipment.

[0104] The above mainly introduces the solution of the embodiment of the present application from the perspective of the execution process of the method side. It is understandable that, in order to realize the above functions, the server includes hardware structures and / or software modules corresponding to the execution of 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 embodiment provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in a hardware or computer software driven hardware manner depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0105] 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 according to each function, or two or more functions can be integrated into a processing module. The above integrated units can be implemented in the form of hardware or in the form of software program modules. It should be noted that the division of units in the embodiments of the present application is schematic and is only a logical functional division. In actual implementation, other division methods can be used.

[0106] In the case of integrated units, see Figure 5 , Figure 5 This is a functional unit structure block diagram of a device 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, such as Figure 5 As shown, the control device 5 for the vacuum degree in the tower based on the high boiling point solvent recovery device includes:

[0107] An acquisition unit 501 is used to acquire the vacuum degree of the distillation separation equipment;

[0108] The processing unit 502 is configured to detect that the vacuum degree deviates from a preset safety range;

[0109] The acquisition unit 501 is further configured to acquire basic data of the high-boiling-point solvent and operating data of the distillation separation device, wherein the operating data includes at least one of current data, vibration data, and circulating water volume of the vacuum pump, cooling water flow rate and cooling water temperature of the condenser, a bottom temperature of the distillation separation device, and a feed volume of the distillation separation device;

[0110] The processing unit 502 is further used to determine at least one abnormal event based on the operating data and a preset normal numerical range of the operating data, wherein the preset safety range and the normal numerical range are associated with the basic data; and, to determine a vacuum recovery strategy based on the at least one abnormal event; and, to execute the vacuum recovery strategy so that the vacuum degree is restored to the preset safety range.

[0111] As can be seen, 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 a preset safety range; obtains basic data of the high-boiling-point solvent and operating data of the distillation separation device, the operating 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, tower bottom temperature of the distillation separation device, and feed rate of the distillation separation device; determines at least one abnormal event based on the operating data and the normal value range of the preset operating data, wherein the preset safety range and the normal value range are associated with the basic data; determines a vacuum recovery strategy based on the at least one abnormal event; and executes the vacuum recovery strategy to restore the vacuum degree to the preset safety range. Therefore, compared with the prior art method of adjusting the vacuum degree in the tower only by a pressure regulating valve, the present application forms a multi-dimensional monitoring network based on the basic data of the high-boiling-point solvent and various operating data of the distillation separation device when vacuum fluctuations are detected, which can quickly locate the root cause of the vacuum degree anomaly, thereby improving the accuracy, comprehensiveness and automation of vacuum degree anomaly detection, thereby reducing the risk of sudden equipment failure and extending the life of the equipment.

[0112] In some embodiments, the vacuum degree is lower than the minimum value of the preset safety interval, and the processing unit 502 determines at least one abnormal event based on the operating data and the normal numerical value interval of the preset operating data, including: detecting that the current data deviates from the normal current interval, and / or the vibration data exceeds the maximum value of the normal vibration interval, 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 interval, determining that the abnormal event is low water intake of the vacuum pump; detecting that the cooling water flow is lower than the minimum value of the normal flow rate interval, determining that the abnormal event is cooling water flow deviation low; it is detected that the cooling water temperature exceeds the maximum value of the normal cooling temperature range, and the abnormal event is determined to be the high cooling water temperature; it is detected that the tower bottom temperature exceeds the maximum value of the normal tower bottom temperature range, and the abnormal event is determined to be the high tower bottom temperature; it is detected that the feed amount exceeds the maximum value of the normal feed range, and the abnormal event is determined to be the high feed amount; it is detected that each operating data among the current data, the vibration data, the vacuum pump circulating water volume, the cooling water flow, the cooling water temperature, the tower bottom temperature, and the feed amount is within the normal value range, and the abnormal event is determined to be a pipeline leakage or a pressure regulating valve failure.

[0113] In some embodiments, the basic data includes the boiling point-pressure curve, thermal decomposition temperature, pressure safety interval, and thermal sensitivity coefficient of the high-boiling point solvent; wherein the preset safety interval is associated with the boiling point-pressure curve, the thermal decomposition temperature, and the pressure safety interval; the normal current interval is associated with the boiling point-pressure curve and the pressure safety interval; the normal vibration interval is associated with the pressure safety interval; the normal circulating water volume interval is associated with the pressure safety interval; the normal flow rate interval is associated with the boiling point-pressure curve and the thermal sensitivity coefficient; the normal cooling temperature interval is associated with the thermal decomposition temperature and the boiling point-pressure curve; the normal bottom temperature interval is associated with the boiling point-pressure curve, the thermal decomposition temperature, and the thermal sensitivity coefficient; and the normal feed interval is associated with the boiling point-pressure curve and the pressure safety interval.

[0114] In some embodiments, the processing unit 502 determines a vacuum recovery strategy based on 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 based on the operating data and the normal numerical range corresponding to the operating data; generating the vacuum recovery strategy according to the adjustment order and the adjustment strategy.

[0115] In some embodiments, the abnormal event is a vacuum pump failure, and the adjustment strategy is to activate a standby pump; the abnormal event is a low water intake of the vacuum pump, and the adjustment strategy is to increase the circulating water volume of the vacuum pump; the abnormal event is a low cooling water flow or a high cooling water temperature, and the adjustment strategy is to increase the cooling water flow; the abnormal event is a high bottom temperature, and the adjustment strategy is to reduce the bottom heating steam flow; the abnormal event is a high feed rate, and the adjustment strategy is to reduce the feed rate; the abnormal event is a pipeline leakage or a pressure regulating valve failure, and the adjustment strategy is to arrange manual inspection.

[0116] In some embodiments, the adjustment order is the priority order of abnormal events, and the processing unit 502 generates the vacuum 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, adjusting the operating data corresponding to the target abnormal event to a normal value range; detecting the change in the vacuum degree; if the vacuum degree still deviates from the preset safety range, executing "obtaining basic data of high-boiling-point solvents and operating data of the distillation separation equipment" and subsequent steps until the vacuum degree is restored to the preset safety range.

[0117] 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 vacuum pump water inlet, the low cooling water flow, the high cooling water temperature, the high tower bottom temperature, and the high feed rate. The processing unit 502 generates the vacuum 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 of the vacuum pump failure, the low vacuum pump water inlet, the low cooling water flow, the high cooling water temperature, the high tower bottom temperature, and the high feed rate; adjusting according to the at least two adjustment strategies, and synchronously adjusting the operating data corresponding to the at least two abnormal events to a normal numerical range; detecting the vacuum change; if the vacuum still deviates from the preset safety range, determining that the abnormal event also includes the pipeline leakage or the pressure regulating valve failure, and adjusting according to the adjustment strategy of the pipeline leakage or the pressure regulating valve failure until the vacuum is restored to the preset safety range.

[0118] An embodiment of the present application provides a computer-readable storage medium having a computer program / instruction stored thereon. When the computer program / instruction is executed by a processor, the steps of any possible embodiment method are implemented.

[0119] It should be noted that for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0120] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0121] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0122] The units described above as separate components may or may not be physically separate, and 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 these units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0123] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0124] If the above-mentioned 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, or the part that contributes to the existing technology, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory and includes a number of instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the above-mentioned methods in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc. Various media that can store program code.

[0125] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by a program instructing related hardware. The program can be stored in a computer-readable memory, which may include a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0126] The above is a detailed introduction to the embodiments of the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for those skilled in the art, according to the idea of ​​the present application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for controlling the vacuum degree in a tower based on a high boiling point solvent recovery device, characterized in that: A controller applied to the high-boiling-point solvent recovery device, wherein the high-boiling-point solvent recovery device further includes at least one distillation separation device, each distillation separation device including a tower body, a vacuum module, a condensation module, and a tower bottom heating module, wherein the vacuum module includes a vacuum pump and a pressure regulating valve, and the condensation module includes a condenser. The vacuum pump is used to provide vacuum power, and the pressure regulating valve is connected to the vacuum pump outlet pipe and controls the pressure in the tower by adjusting the opening. The tower bottom heating module is used to provide heat required for evaporation, and the condenser is used to condense the high-boiling-point solvent vapor in the tower. The method comprises: Obtaining the vacuum degree of the distillation separation equipment; detecting that the vacuum degree deviates from a preset safety range; Obtaining basic data of the high-boiling-point solvent and operating data of the distillation separation device, the basic data including a boiling point-pressure curve, a thermal decomposition temperature, a pressure safety range, and a thermal sensitivity coefficient of the high-boiling-point solvent; and the operating data including at least one of current data, vibration data, a circulating water volume of the vacuum pump, a cooling water flow rate and cooling water temperature of the condenser, a bottom temperature of the distillation separation device, and a feed volume of the distillation separation device; determining at least one abnormal event based on the operating data and a preset normal value interval of the operating data, wherein the preset safety interval and the normal value interval are associated with the basic data; determining a vacuum recovery strategy according to the at least one abnormal event; Executing the vacuum degree recovery strategy to restore the vacuum degree to the preset safety range; Determining a vacuum recovery strategy according to the at least one abnormal event includes: Determining an adjustment order for the at least one abnormal event, and determining an adjustment strategy for each abnormal event based on the operating data and a normal value range corresponding to the operating data, wherein the adjustment order is an abnormal event priority order or a synchronous adjustment order; The vacuum degree recovery strategy is generated according to the adjustment sequence and the adjustment strategy.

2. The method according to claim 1, characterized in that The vacuum degree is lower than the minimum value of the preset safety range, and the determining of at least one abnormal event based on the operating data and a preset normal value range of the operating data includes: detecting that the current data deviates from a normal current range, and / or that the vibration data exceeds a maximum value of a 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, determining that the abnormal event is low water intake of the vacuum pump; detecting that the cooling water flow rate is lower than a minimum value of a normal flow rate range, and determining that the abnormal event is low cooling water flow rate; detecting that the cooling water temperature exceeds a maximum value of a normal cooling temperature range, and determining that the abnormal event is that the cooling water temperature is too high; detecting that the tower bottom temperature exceeds a maximum value of a normal tower bottom temperature range, and determining that the abnormal event is that the tower bottom temperature is too high; detecting that the feed amount exceeds a maximum value of a normal feed range, and determining that the abnormal event is a high feed amount; It is detected that each operating data of the current data, the vibration data, the vacuum pump circulating water volume, the cooling water flow rate, the cooling water temperature, the tower bottom temperature, and the feed volume is within a normal value range, and the abnormal event is determined to be a pipeline leakage or a pressure regulating valve failure.

3. The method according to claim 2, characterized in that The preset safety interval is associated with the boiling point-pressure curve, the thermal decomposition temperature, and the pressure safety interval; The normal current interval is associated with the boiling point-pressure curve and the pressure safety interval; The normal vibration range is associated with the pressure safety range; The normal circulating water volume interval is associated with the pressure safety interval; The normal flow 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 tower bottom temperature range is associated with the boiling point-pressure curve, the thermal decomposition temperature, and the thermal sensitivity coefficient; The normal feed interval is associated with the boiling point-pressure curve and the pressure safety interval.

4. The method according to claim 2, 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 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 tower kettle temperature is too high, and the adjustment strategy is to reduce the tower kettle heating steam flow rate; The abnormal event is that the feed amount is too high, and the adjustment strategy is to reduce the feed amount; The abnormal event is a pipeline leakage or a pressure regulating valve failure, and the adjustment strategy is to arrange manual inspection.

5. The method according to claim 2, characterized in that The adjustment sequence is the priority sequence of abnormal events, and generating the vacuum recovery strategy according to the adjustment sequence and the adjustment strategy includes: Adjust the operating data corresponding to the target abnormal event to a normal value range according to the adjustment strategy of the target abnormal event with the highest priority among the at least one abnormal event; detecting a change in the vacuum degree; If the vacuum degree still deviates from the preset safety range, the steps of "obtaining basic data of the high-boiling-point solvent and operating data of the distillation separation equipment" and thereafter are performed until the vacuum degree returns to the preset safety range.

6. The method according to claim 2, characterized in that The adjustment sequence is a synchronous adjustment sequence, the abnormal events include at least two of the following: vacuum pump failure, low water inlet of the vacuum pump, low cooling water flow, high cooling water temperature, high bottom temperature, and high feed rate. Generating the vacuum degree recovery strategy according to the adjustment sequence and the adjustment strategy includes: Obtain at least two adjustment strategies corresponding to at least two abnormal events: vacuum pump failure, low vacuum pump water intake, low cooling water flow, high cooling water temperature, high tower bottom temperature, and high feed volume; Performing adjustments according to the at least two adjustment strategies to synchronously adjust the operating data corresponding to the at least two abnormal events to a normal value range; detecting a change in the vacuum degree; If the vacuum degree still deviates from the preset safety range, it is determined that the abnormal event also includes the pipeline leakage or the pressure regulating valve failure, and adjustments are made according to the adjustment strategy for the pipeline leakage or the pressure regulating valve failure until the vacuum degree returns to the preset safety range.

7. A device for controlling the vacuum degree in a tower based on a high boiling point solvent recovery device, characterized in that: A controller applied to the high-boiling-point solvent recovery device, the controller being configured to execute the step instructions of the method according to any one of claims 1 to 6; The high-boiling-point solvent recovery device further includes at least one distillation separation device, each of which includes a tower body, a vacuum module, a condensation module, and a tower bottom 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 pipe and controls the pressure in the tower by adjusting the opening. The tower bottom heating module is used to provide heat required for evaporation. The condenser is used to condense the high-boiling-point solvent vapor in the tower. The control device includes: an acquisition unit, configured to acquire the vacuum degree of the distillation separation equipment; a processing unit, configured to detect that the vacuum degree deviates from a preset safety range; The acquisition unit is further configured to acquire basic data of the high-boiling-point solvent and operating data of the distillation separation device, wherein the operating data includes at least one of current data, vibration data, and circulating water volume of the vacuum pump, cooling water flow rate and cooling water temperature of the condenser, a bottom temperature of the distillation separation device, and a feed volume of the distillation separation device; The processing unit is further used to determine at least one abnormal event based on the operating data and a preset normal numerical range of the operating data, wherein the preset safety range and the normal numerical range are associated with the basic data; and, to determine a vacuum recovery strategy based on the at least one abnormal event; and, to execute the vacuum recovery strategy so that the vacuum degree is restored to the preset safety range.

8. A high boiling point solvent recovery device, characterized in that: The high-boiling-point solvent recovery device includes a controller and at least one distillation separation device, each of which includes a tower body, a vacuum module, a condensation module, and a tower bottom 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 pipe and controls the pressure in the tower by adjusting the opening. The tower bottom heating module is used to provide heat required for evaporation. The condenser is used to condense the high-boiling-point solvent vapor in the tower. The controller is configured to execute the step instructions in the method according to any one of claims 1 to 6.

9. A controller, characterized in that: The method comprises a processor and a memory, wherein a computer program is stored in the memory, and when the processor calls the computer program in the memory, the step instructions in the method according to any one of claims 1 to 6 are executed.

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