CN114470842B - Rectifying tower condenser intelligent debugging method and device based on artificial intelligence - Google Patents

Rectifying tower condenser intelligent debugging method and device based on artificial intelligence Download PDF

Info

Publication number
CN114470842B
CN114470842B CN202210394545.XA CN202210394545A CN114470842B CN 114470842 B CN114470842 B CN 114470842B CN 202210394545 A CN202210394545 A CN 202210394545A CN 114470842 B CN114470842 B CN 114470842B
Authority
CN
China
Prior art keywords
temperature
value
condensation
preset
chamber
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202210394545.XA
Other languages
Chinese (zh)
Other versions
CN114470842A (en
Inventor
严文荣
王丹
张阳
郑学伟
杜金苏
杨晓月
琚琳琳
李杰光
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Construction Industrial and Energy Engineering Group Co Ltd
Original Assignee
China Construction Industrial and Energy Engineering Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Construction Industrial and Energy Engineering Group Co Ltd filed Critical China Construction Industrial and Energy Engineering Group Co Ltd
Priority to CN202210394545.XA priority Critical patent/CN114470842B/en
Publication of CN114470842A publication Critical patent/CN114470842A/en
Application granted granted Critical
Publication of CN114470842B publication Critical patent/CN114470842B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B01PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01DSEPARATION
    • B01D3/00Distillation or related exchange processes in which liquids are contacted with gaseous media, e.g. stripping
    • B01D3/14Fractional distillation or use of a fractionation or rectification column
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B01PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01DSEPARATION
    • B01D3/00Distillation or related exchange processes in which liquids are contacted with gaseous media, e.g. stripping
    • B01D3/42Regulation; Control

Landscapes

  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

The invention provides an artificial intelligence-based intelligent debugging method and a debugging device for a rectifying tower condenser, which specifically comprise the following steps: after the refrigeration power of the condenser is adjusted to the preset refrigeration power and works for a first preset time, a first condensation temperature in the condensation chamber is obtained; obtaining a first distillation temperature of current distillation gas in a distillation chamber of a distillation tower, and obtaining a temperature change value according to the first distillation temperature and a preset condensation temperature; acquiring a current gas flow value of a transmission pipeline, and generating a first gas quantity value according to the current gas flow value and attribute information of the transmission pipeline; calculating the temperature change value and a preset temperature change value to obtain a temperature change trend value, and calculating the first gas quantity value and the preset gas quantity value to obtain a quantity value change trend value; and debugging the preset refrigeration power according to the temperature change trend value and the magnitude change trend value to obtain debugging refrigeration power, and controlling the condenser according to the debugging refrigeration power to enable the condensation chamber to be from the first condensation temperature to the second condensation temperature.

Description

Rectifying tower condenser intelligent debugging method and device based on artificial intelligence
Technical Field
The invention relates to the technical field of data processing, in particular to an intelligent debugging method and device for a rectifying tower condenser based on artificial intelligence.
Background
The rectifying tower is a tower type gas-liquid contact device for rectification. By utilizing the property that each component in the mixture has different volatility, namely the vapor pressure of each component is different at the same temperature, the light component (low-boiling-point substance) in the liquid phase is transferred into the gas phase, and the heavy component (high-boiling-point substance) in the gas phase is transferred into the liquid phase, thereby realizing the purpose of separation. The rectifying tower is also a mass and heat transfer device which is widely applied in petrochemical production. The rectifying tower comprises a rectifying chamber, and liquid needing rectifying treatment is rectified through the rectifying chamber in the rectifying tower.
A Condenser (Condenser), a component of a refrigeration system, belongs to one type of heat exchanger, which is capable of converting a gas or a vapor into a liquid, and transferring the heat in the tube to the air in the vicinity of the tube in a rapid manner. The gas rectified by the rectifying tower can be condensed by a condensing chamber of the condenser to form corresponding liquid-phase substances.
In the process of processing petroleum, it is necessary to use the petroleum by dividing it into several fractions according to the boiling point range by means of rectification, which is understood to be the distillation of crude oil.
The steam of each component volatilized by the rectifying tower can be condensed by the condenser, so that the aim of condensing the fractionated gas into liquid is fulfilled. In the existing condensation process, the condenser generally performs the condensation work according to a fixed power, but in the actual fractionation process, the temperatures of distilled and volatilized gases of different components are different, the condensing temperature required for distilling the volatilized gases at a lower temperature is lower, the condensing temperature required for distilling the volatilized gases at a higher temperature is higher, and the prior art cannot determine the working efficiency of the condenser proper according to the quantity of the gases distilled by the rectifying tower and the distilling temperature, so that the energy waste is caused.
Disclosure of Invention
The embodiment of the invention provides an artificial intelligence-based intelligent debugging method and device for a rectifying tower condenser, which can determine the appropriate refrigerating power of the condenser according to information such as the quantity value of gas distilled by a rectifying tower, the temperature of distillation and the like, and save resources on the premise of ensuring the stable condensing effect.
The first aspect of the embodiment of the invention provides an artificial intelligence-based intelligent debugging method for a condenser of a rectifying tower, which comprises a rectifying chamber and a condensing chamber, wherein the rectifying chamber is positioned in the rectifying tower, the condensing chamber is positioned at the condenser, the rectifying chamber is communicated with the condensing chamber through a transmission pipeline, and the intelligent debugging method for the condenser comprises the following steps:
adjusting the refrigeration power of the condenser to the preset refrigeration power, and obtaining a first condensation temperature in the condensation chamber after the refrigeration power of the condenser works for a first preset time;
obtaining a first distillation temperature of current distillation gas in a rectifying chamber of a rectifying tower, and obtaining a temperature change value according to the first distillation temperature and a preset condensation temperature;
acquiring a current gas flow value of a transmission pipeline, and generating a first gas quantity value according to the current gas flow value and attribute information of the transmission pipeline;
calculating the temperature change value and a preset temperature change value to obtain a temperature change trend value, and calculating the first gas quantity value and the preset gas quantity value to obtain a quantity value change trend value;
and debugging the preset refrigeration power according to the temperature change trend value and the magnitude change trend value to obtain debugging refrigeration power, and controlling the condenser according to the debugging refrigeration power to enable the condensation chamber to be from a first condensation temperature to a second condensation temperature.
Optionally, in a possible implementation manner of the first aspect, in the step of obtaining a first distillation temperature of a current distillation gas in a rectification chamber of a rectification column, and obtaining a temperature change value according to the first distillation temperature and a preset condensation temperature, the step specifically includes:
obtaining a first distillation temperature according to the distillation temperatures at a plurality of moments in the rectification chamber within a second preset time period;
and obtaining a temperature change value according to the difference value of the first distillation temperature and a preset condensation temperature.
Optionally, in a possible implementation manner of the first aspect, in the step of calculating the temperature change value and a preset temperature change value to obtain a temperature change trend value, and calculating the first gas quantity value and a preset gas quantity value to obtain a quantity value change trend value, the method specifically includes:
comparing the temperature change value with a preset temperature change value to obtain a first temperature difference value, and obtaining a temperature change trend value according to the first temperature difference value;
comparing the first gas quantity value with a preset gas quantity value to obtain a first gas difference value, and obtaining a quantity value change trend value according to the first gas difference value;
the temperature variation tendency value and the magnitude variation tendency value are calculated by the following formulas,
Figure DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 448719DEST_PATH_IMAGE002
in order to obtain the temperature variation trend value,
Figure DEST_PATH_IMAGE003
in order to be the weight value of the temperature change,
Figure 58823DEST_PATH_IMAGE004
for the second preset time period
Figure DEST_PATH_IMAGE005
The first distillation temperature at a given point in time,
Figure 464397DEST_PATH_IMAGE006
is the upper limit value of the time in the second preset time period,
Figure DEST_PATH_IMAGE007
is a quantity value of a time of day,
Figure 450938DEST_PATH_IMAGE008
in order to set the condensation temperature to a preset value,
Figure DEST_PATH_IMAGE009
is a first value of a normalization constant that,
Figure 320674DEST_PATH_IMAGE010
in order to preset the value of the temperature change,
Figure DEST_PATH_IMAGE011
in order to obtain a value of the magnitude trend,
Figure 836100DEST_PATH_IMAGE012
in order for the magnitude to vary the weight value,
Figure DEST_PATH_IMAGE013
is the cross-sectional area of the transfer pipeline,
Figure 994549DEST_PATH_IMAGE014
to determine the flow rate of the gas in the transport pipe,
Figure DEST_PATH_IMAGE015
for the second value of the normalization constant, the value of the constant,
Figure 315940DEST_PATH_IMAGE016
is a predetermined gas quantity value.
Optionally, in a possible implementation manner of the first aspect, in the step of obtaining a debugging refrigeration power by debugging the preset refrigeration power according to the temperature change trend value and the magnitude change trend value, and controlling the condenser according to the debugging refrigeration power to make the condensation chamber change from the first condensation temperature to the second condensation temperature, the method specifically includes:
carrying out offset calculation on preset refrigeration power debugging according to the temperature change trend value and the magnitude change trend value to obtain debugging refrigeration power;
the debugging cooling power is calculated by the following formula,
Figure DEST_PATH_IMAGE017
wherein the content of the first and second substances,
Figure 716879DEST_PATH_IMAGE018
in order to debug the cooling power,
Figure DEST_PATH_IMAGE019
in order to adjust the coefficient for the temperature,
Figure 918054DEST_PATH_IMAGE020
in order to debug the coefficients for the values,
Figure DEST_PATH_IMAGE021
in order to preset the cooling power, the cooling system is provided with a cooling device,
Figure 314531DEST_PATH_IMAGE022
is a first offset coefficient to be a first offset coefficient,
Figure DEST_PATH_IMAGE023
is a coefficient constant;
and controlling the condenser to work for a third preset time period according to the debugging refrigeration power, and extracting a second condensation temperature of the condensation chamber after the third time period.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
displaying the second condensation temperature, receiving power change information input by a user, and changing the debugging refrigeration power according to the power change information to obtain input refrigeration power;
controlling the condenser to work for a fourth preset time period according to the refrigeration power, and then obtaining a third condensation temperature of the condensation chamber after the fourth preset time period;
and obtaining offset modification information according to the second condensation temperature and the third condensation temperature, and updating the first offset coefficient according to the offset modification information.
Optionally, in a possible implementation manner of the first aspect, in the step of obtaining offset modification information according to the second condensation temperature and the third condensation temperature, and updating the first offset coefficient according to the offset modification information, the step specifically includes:
if the second condensation temperature is higher than the third condensation temperature, determining an increase coefficient, and increasing and adjusting the first offset coefficient according to the increase coefficient and the difference between the second condensation temperature and the third condensation temperature;
if the second condensation temperature is lower than the third condensation temperature, determining a turn-down coefficient, and reducing and adjusting the first offset coefficient according to the turn-down coefficient and the difference between the second condensation temperature and the third condensation temperature;
the adjusted first offset coefficient is obtained by the following formula,
Figure 423301DEST_PATH_IMAGE024
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE025
is the second condensation temperature and is the temperature of the second condensation,
Figure 221624DEST_PATH_IMAGE026
is the third condensing temperature and is the temperature of the second condensing temperature,
Figure DEST_PATH_IMAGE027
for the adjusted first offset coefficient the first offset coefficient,
Figure 328120DEST_PATH_IMAGE028
in order to increase the coefficient, the coefficient is adjusted to be large,
Figure DEST_PATH_IMAGE029
to turn down the coefficients.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
obtaining debugging refrigeration power corresponding to each distilled gas, and sequencing each distilled gas in an ascending order according to the corresponding debugging refrigeration power to obtain a refrigeration power sequence;
obtaining a target transmission pipeline and a target condensation chamber corresponding to the distilled gas to be distilled, wherein the target transmission pipeline is respectively communicated with the rectification chamber and the corresponding target condensation chamber;
obtaining a first distillation time period according to the volume information of the distilled stock solution and the first distillation temperature of the current distillation gas;
determining the refrigeration power corresponding to the next distilled gas positioned in the current distilled gas in the refrigeration power sequence as target refrigeration power, and obtaining a target condensation time period according to the current temperature value, the target refrigeration power and a preset condensation temperature value of a target condensation chamber corresponding to the next distilled gas;
taking the last moment of the first distillation time period as an initial time point, and obtaining a condensation starting time point according to the initial time point and a target condensation time period;
and controlling the operation of the condenser corresponding to the subsequent distilled gas in the condensation starting time so as to achieve the purpose of cooling the condensation chamber.
Optionally, in a possible implementation manner of the first aspect, in the step of determining, in the refrigeration power sequence, the refrigeration power corresponding to a subsequent distilled gas located in the current distilled gas as the target refrigeration power, and obtaining the target condensation time period according to the current temperature value, the target refrigeration power, and the preset condensation temperature value of the target condensation chamber corresponding to the subsequent distilled gas, the step specifically includes:
obtaining a target change temperature of the target condensing chamber according to the difference value between the current temperature value of the target condensing chamber and a preset condensing temperature;
calculating according to the target change temperature of the target condensing chamber and the target refrigerating power of the target condensing chamber to obtain a target condensing time period of the target condensing chamber;
the target condensing period of the target condensing chamber is calculated by the following formula,
Figure 8632DEST_PATH_IMAGE030
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE031
is a target condensing period of the target condensing chamber,
Figure 609508DEST_PATH_IMAGE032
is the current temperature value of the target condensing chamber,
Figure DEST_PATH_IMAGE033
a target change temperature of the target condensing chamber is set,
Figure 511605DEST_PATH_IMAGE034
in order to target the cooling power of the refrigerator,
Figure DEST_PATH_IMAGE035
in order to be the value of the power conversion,
Figure 805314DEST_PATH_IMAGE036
is a temporal weight value.
Alternatively, in a possible implementation manner of the first aspect, the step of taking the last moment of the first distillation period as a starting time point and obtaining a condensation start time point according to the starting time point and the target condensation period specifically includes:
obtaining a preliminary calculation time point according to the starting time point and the target condensation time period;
and carrying out offset processing on the preliminary calculation time point to obtain a condensation starting time point.
In a second aspect of the embodiments of the present invention, an intelligent tuning apparatus for a condenser of a rectification tower based on artificial intelligence is provided, including a rectification chamber located in the rectification tower and a condensation chamber located at the condenser, where the rectification chamber and the condensation chamber are communicated through a transmission pipeline, and the intelligent tuning apparatus for the condenser is implemented through the following modules, specifically including:
the condensation temperature acquisition module is used for adjusting the refrigeration power of the condenser to preset refrigeration power and working for a first preset time to acquire a first condensation temperature in the condensation chamber;
the distillation temperature acquisition module is used for acquiring a first distillation temperature of current distillation gas in a rectifying chamber of the rectifying tower and acquiring a temperature change value according to the first distillation temperature and a preset condensation temperature;
the gas quantity value generating module is used for acquiring the current gas flow value of the transmission pipeline and generating a first gas quantity value according to the current gas flow value and the attribute information of the transmission pipeline;
the variation trend calculation module is used for calculating the temperature variation value and a preset temperature variation value to obtain a temperature variation trend value and calculating the first gas quantity value and the preset gas quantity value to obtain a quantity value variation trend value;
and the debugging module is used for debugging the preset refrigeration power according to the temperature change trend value and the magnitude change trend value to obtain debugging refrigeration power, and controlling the condenser according to the debugging refrigeration power to enable the condensing chamber to be from a first condensing temperature to a second condensing temperature.
A third aspect of the embodiments of the present invention provides a storage medium, in which a computer program is stored, and the computer program is used for implementing the method according to the first aspect of the present invention and various possible designs of the first aspect when the computer program is executed by a processor.
The invention provides an artificial intelligence-based intelligent debugging method and device for a rectifying tower condenser. When the condenser of the rectifying tower is intelligently debugged, the first distillation temperature and the first gas quantity value in the rectifying chamber of the rectifying tower can be obtained, so as to obtain the corresponding temperature variation trend value and magnitude variation trend value, the invention can debug and change the preset refrigeration power according to the temperature variation trend value and the magnitude variation trend value to obtain the corresponding debugging refrigeration power, so that the condenser can carry out condensation treatment according to corresponding debugging refrigeration power when carrying out condensation treatment on the same distilled gas, so that the condensing chambers corresponding to different condensing gases respectively have adaptive debugging refrigeration power, the working efficiency of the condensers of the plurality of condensing chambers is asynchronous, and then when guaranteeing the condensation effect of different distilled gases, reduce the refrigeration power under the higher condensation scene of condensation temperature, energy saving, electric quantity.
According to the technical scheme provided by the invention, power change information actively input by a user is received, offset modification information is obtained according to the difference between the third condensation temperature after the power change and the second condensation temperature before the power change, and the first offset coefficient is updated through the offset modification information, so that the technical scheme provided by the invention is more accurate when the refrigeration power is subsequently obtained, a formula for calculating and debugging the refrigeration power can be continuously trained according to the active input of the user, the obtained debugging refrigeration power is more accurate under different gas flow rates and distillation temperatures, and the dynamic adjustment and change of the power of the condenser are realized.
According to the technical scheme provided by the invention, the debugging refrigeration power corresponding to each distilled gas is recorded, and the parallel work of a plurality of condensers is controlled according to the debugging refrigeration power among a plurality of distilled gases and the refrigeration power sequence, so that one condenser is controlled to start refrigeration before some distilled gas is condensed, and the corresponding target condensation chamber reaches the target change temperature, namely when the gas corresponding to the target condensation chamber starts to be condensed, the target condensation chamber has the target change temperature.
Drawings
FIG. 1 is a first applicable scenario diagram of the technical solution provided by the present invention
FIG. 2 is a flow chart of a first embodiment of an artificial intelligence based rectification column condenser intelligent tuning method;
FIG. 3 is a flowchart illustrating an embodiment of step S120;
fig. 4 is a second applicable scenario diagram of the technical solution provided by the present invention;
fig. 5 is a configuration diagram of a first embodiment of an intelligent tuning device for a rectifying tower condenser based on artificial intelligence.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements explicitly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that all three of A, B, C comprise, "comprises A, B or C" means that one of three of A, B, C are comprised, "comprises A, B and/or C" means that any 1 or any 2 or 3 of the three comprise A, B, C are comprised.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
As shown in fig. 1, the first usage scenario to which the technical solution provided by the present invention is applied includes a rectification chamber located in a rectification column, and a condensation chamber located at a condenser, where the rectification chamber and the condensation chamber are communicated through a transmission pipeline. The rectifying chamber and the condensing chamber are respectively provided with a first temperature sensor and a second temperature sensor, the transmission pipeline is provided with a flow meter, the controller is respectively connected with the first temperature sensor in the rectifying chamber, the second temperature sensor in the condensing chamber and the flow meter in the transmission pipeline, and the controller controls the condenser to work according to corresponding work rates according to data sent by the first temperature sensor, the second temperature sensor and the flow meter respectively.
The invention provides an artificial intelligence-based intelligent debugging method for a rectifying tower condenser, which intelligently debugs the condenser through the following steps, as shown in figure 2, and specifically comprises the following steps:
step S110, after the refrigeration power of the condenser is adjusted to the preset refrigeration power and works for the first preset time, the first condensation temperature in the condensation chamber is obtained. Before the distilled gas is condensed by the condenser, the invention firstly works for a first preset time according to preset refrigeration power, the preset refrigeration power can be rated working efficiency, highest working efficiency and the like, and the preset refrigeration power can be set differently according to different condensation values of different distilled gases. The first preset time may be 10 minutes, 15 minutes, etc., after which the present invention obtains the first condensing temperature of the condensing chamber.
And S120, acquiring a first distillation temperature of the current distillation gas in a rectifying chamber of the rectifying tower, and obtaining a temperature change value according to the first distillation temperature and a preset condensation temperature. According to the technical scheme provided by the invention, in the actual rectification process, because the gasification temperatures of different liquid phases and distillation gases in the liquid are possibly different, the first distillation temperatures are also different when different distillation gases in the liquid are extracted, and at the moment, the temperature change value can be obtained according to the first distillation temperature and the preset condensation temperature, and can be regarded as the temperature value required to be reduced when the distillation gases are converted into the corresponding liquid in the condenser.
In a possible implementation manner of the technical solution provided by the present invention, as shown in fig. 3, step S120 specifically includes:
and step S1201, obtaining a first distillation temperature according to the distillation temperatures at a plurality of moments in the rectifying chamber within a second preset time period. In order to improve the accuracy of the first distillation temperature and avoid the possibility of sample deviation, the invention acquires the distillation temperatures at multiple moments to obtain the corresponding first distillation temperature.
And step S1202, obtaining a temperature change value according to the difference value of the first distillation temperature and a preset condensation temperature. The preset condensing temperature may be regarded as a preset condensing temperature when the distilled gas is normally condensed at present. The difference value between the first distillation temperature and the preset condensation temperature is the temperature which needs to be reached after the current distilled gas enters the condensation chamber from the rectification chamber.
Step S130, obtaining a current gas flow value of a transmission pipeline, and generating a first gas quantity value according to the current gas flow value and attribute information of the transmission pipeline. Wherein, the attribute information may be a sectional area of the pipeline, and the first gas amount value is obtained according to the current gas flow value and the sectional area of the pipeline. In general, the cross-sectional area of the pipe is fixed, and the current gas flow value is in direct proportion to the amount of liquid to be distilled and the heating temperature of the rectifying chamber of the rectifying tower.
Step S140, calculating the temperature change value and a preset temperature change value to obtain a temperature change trend value, and calculating the first gas quantity value and the preset gas quantity value to obtain a quantity value change trend value.
According to the technical scheme provided by the invention, the temperature change trend value is obtained by calculating according to the temperature change value and the preset temperature change value, the temperature change value is actually obtained by calculation, the preset temperature change value is preset by the invention, and the preset temperature change value is the difference value between the distillation temperature in the rectifying chamber and the condensation temperature in the condensing chamber under a certain specific scene. The larger the difference between the temperature change value and the preset temperature change value is, the larger the difference between the actually calculated debugging refrigeration power and the preset refrigeration power corresponding to the preset temperature change value is.
According to the technical scheme, a value change trend value is obtained through calculation according to a first gas quantity value and a preset gas quantity value, the first gas quantity value is obtained through actual calculation, the preset gas quantity value is preset in the invention, and the preset gas quantity value is a state when the current distilled gas in the rectifying chamber flows to the condensing chamber under a certain specific scene, and the state comprises the flow rate, the volume and the like.
In a possible implementation manner of the technical solution provided by the present invention, step S140 specifically includes:
and comparing the temperature change value with a preset temperature change value to obtain a first temperature difference value, and obtaining a temperature change trend value according to the first temperature difference value. The larger the first temperature difference is, the larger the temperature change tendency value at that time is proved to be.
And comparing the first gas quantity value with a preset gas quantity value to obtain a first gas difference value, and obtaining a quantity value change trend value according to the first gas difference value. The larger the difference value of the first gas is, the larger the value of the magnitude change tendency at that time is proved to be.
The temperature variation tendency value and the magnitude variation tendency value are calculated by the following formulas,
Figure 628914DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 813908DEST_PATH_IMAGE002
in order to obtain the temperature variation trend value,
Figure 790085DEST_PATH_IMAGE003
in order to be the weight value of the temperature change,
Figure 972805DEST_PATH_IMAGE004
for the second preset time period
Figure 549280DEST_PATH_IMAGE005
The first distillation temperature at a given point in time,
Figure 210068DEST_PATH_IMAGE006
is the upper limit value of the time in the second preset time period,
Figure 40752DEST_PATH_IMAGE007
is a quantity value of a time of day,
Figure 659952DEST_PATH_IMAGE008
in order to set the condensation temperature to a preset value,
Figure 458144DEST_PATH_IMAGE009
is a first value of a normalization constant that,
Figure 735672DEST_PATH_IMAGE010
in order to preset the value of the temperature change,
Figure 670130DEST_PATH_IMAGE011
in order to obtain a value of the magnitude trend,
Figure 194653DEST_PATH_IMAGE012
in order for the magnitude to vary the weight value,
Figure 27611DEST_PATH_IMAGE013
is the cross-sectional area of the transfer pipeline,
Figure 295781DEST_PATH_IMAGE014
is the flow rate of the gas in the transport pipe,
Figure 84745DEST_PATH_IMAGE015
for the second value of the normalization constant, the value of the constant,
Figure 45748DEST_PATH_IMAGE016
is a predetermined gas quantity value.
By passing
Figure DEST_PATH_IMAGE037
The average first distillation temperature over the second predetermined period of time can be obtained by
Figure 834844DEST_PATH_IMAGE038
A first temperature difference value may be obtained, which may be paired with a first normalized constant value
Figure 906705DEST_PATH_IMAGE038
Weighting and normalizing to obtain actually calculated temperature variation value, and finally performing weighting and normalization on the temperature variation value
Figure DEST_PATH_IMAGE039
And obtaining a temperature change trend value after weighting treatment.
By passing
Figure 159963DEST_PATH_IMAGE040
The product of the cross-sectional area of the transmission pipeline and the flow velocity of the gas in the transmission pipeline can be obtained, and the larger the cross-sectional area of the transmission pipeline and the flow velocity of the gas in the transmission pipeline are, the larger the flow velocity is, the larger the cross-sectional area of the transmission pipeline and the flow velocity of the gas in the transmission pipeline are, the larger the product is
Figure 26288DEST_PATH_IMAGE040
The larger, the larger the second normalized constant value may be
Figure DEST_PATH_IMAGE041
Weighting and normalizing to obtain a first gas quantity value which is actually calculated, wherein the first gas quantity value is not an actual volume but a coefficient which has a positive relation with the volume, and the sum at the moment
Figure 568259DEST_PATH_IMAGE041
The time of multiplication may be 1, in which case
Figure 178231DEST_PATH_IMAGE041
I.e. it can be expressed as a volume per unit time,
Figure 941788DEST_PATH_IMAGE041
the larger the first gas amount per unit time, the larger the last pair
Figure 979014DEST_PATH_IMAGE042
And obtaining a value of the magnitude change trend after weighting processing.
And S150, debugging the preset refrigeration power according to the temperature change trend value and the magnitude change trend value to obtain debugging refrigeration power, and controlling the condenser according to the debugging refrigeration power to enable the condensation chamber to reach a second condensation temperature from a first condensation temperature. According to the technical scheme provided by the invention, after the temperature change trend value and the magnitude change trend value are obtained, the preset refrigeration power is debugged to obtain the debugging refrigeration power which is suitable for the current condensation scene, and the condenser is controlled to work for a fifth preset time period under the debugging refrigeration power, so that the condensation chamber is reduced from the first condensation temperature to the second condensation temperature.
Taking a petroleum processing process as an example, in the petroleum processing process, due to different magnitudes of petroleum in a rectifying chamber of a rectifying tower and different heating efficiencies of the rectifying tower, different conditions exist in the first rectifying temperature in the rectifying chamber under different scenes, so that the temperature change trend value may have positive and negative conditions. Similarly, the amount of the first gas may be different under different scenes due to different amounts of the petroleum in the rectifying chamber, different heating efficiencies of the rectifying tower and different cross-sectional areas in the transmission pipeline, so that the amount of the first gas may have a positive value and a negative value in the amount variation trend.
In a possible implementation manner of the technical solution provided by the present invention, step S150 specifically includes:
and carrying out offset calculation on preset refrigeration power debugging according to the temperature change trend value and the magnitude change trend value to obtain debugging refrigeration power.
The debugging cooling power is calculated by the following formula,
Figure 477123DEST_PATH_IMAGE017
wherein the content of the first and second substances,
Figure 890787DEST_PATH_IMAGE018
in order to debug the cooling power,
Figure 571167DEST_PATH_IMAGE019
in order to adjust the coefficient for the temperature,
Figure 795606DEST_PATH_IMAGE020
in order to debug the coefficients for the values,
Figure 764699DEST_PATH_IMAGE021
in order to preset the cooling power, the cooling system is provided with a cooling device,
Figure 716474DEST_PATH_IMAGE022
is a first offset coefficient to be a first offset coefficient,
Figure 454623DEST_PATH_IMAGE023
is a coefficient constant. The invention can respectively carry out weighting processing on the temperature variation trend value and the magnitude variation trend value according to the temperature debugging coefficient and the numerical value debugging coefficient,
Figure DEST_PATH_IMAGE043
the larger the value of (a), the larger the resulting commissioning cooling power, and the first offset factor may be previously initialized, uniformly set by the administrator.
And controlling the condenser to work for a third preset time period according to the debugging refrigeration power, and extracting a second condensation temperature of the condensation chamber after the third time period. According to the technical scheme provided by the invention, after the debugging refrigeration power is obtained, the condenser is controlled to work for a third preset time period according to the debugging refrigeration power, at the moment, the condenser is controlled to work with variable power, a second condensation temperature more suitable for the current scene is obtained, if the second condensation temperature is lower than the first condensation temperature, the heat required to be released by the current distilled gas in the actual condensation scene is more than that in the condensation scene in the preset state, the debugging refrigeration power can be increased at the moment, and the condensation efficiency is ensured. If the second condensation temperature is higher than the first condensation temperature, the heat quantity required to be released by the current distilled gas in the actual condensation scene is less than that in the condensation scene in the preset state, and then the debugging refrigeration power can be reduced, and the electric energy is saved.
In a possible embodiment, the technical solution provided by the present invention further includes:
and displaying the second condensation temperature, receiving power change information input by a user, and changing the debugging refrigeration power according to the power change information to obtain input refrigeration power. The invention can display the second condensation temperature after obtaining the second condensation temperature, and the second condensation temperature can be understood as the temperature of the condenser when the user carries out condensation work after automatically adjusting the power of the condenser. If the user and the administrator think that the temperature in the condensation chamber is too high or too low, the user and the administrator can change the trial refrigerating power according to the actual condition input power change information to obtain the input refrigerating power, so that the condenser works according to the input refrigerating power, and the condensation chamber of the condenser has new temperature.
The power change information inputted by the user, the change of the cooling power such as adjusting the operating frequency of the compressor, etc. may be received through the input device. The present invention is not limited to the modification of the cooling power, and the modification of the condensers with different specifications is different, for example, through a remote controller input, a PLC input, an upper computer input, etc.
And controlling the condenser to work for a fourth preset time period according to the refrigeration power, and then obtaining a third condensation temperature of the condensation chamber after the fourth preset time period. According to the technical scheme provided by the invention, after the refrigeration power is obtained, the condenser is controlled to work for a fourth preset time period, and a corresponding third condensation temperature is obtained at the moment.
And obtaining offset modification information according to the second condensation temperature and the third condensation temperature, and updating the first offset coefficient according to the offset modification information. According to the invention, the offset modification information can be obtained according to the second condensation temperature and the third condensation temperature, so that the modified first offset coefficient is more suitable for a corresponding calculation scene.
In a possible embodiment, the step of obtaining offset modification information according to the second condensation temperature and the third condensation temperature, and updating the first offset coefficient according to the offset modification information specifically includes:
and if the second condensation temperature is higher than the third condensation temperature, determining an increase coefficient, and increasing and adjusting the first offset coefficient according to the increase coefficient and the difference between the second condensation temperature and the third condensation temperature. When the second condensation temperature is higher than the third condensation temperature, the second condensation temperature is higher, the debugging refrigeration power is lower than the input refrigeration power, and the first offset coefficient needs to be increased, so that the preset increase coefficient of the invention needs to be determined.
And if the second condensation temperature is lower than the third condensation temperature, determining a reduction coefficient, and reducing and adjusting the first offset coefficient according to the reduction coefficient and the difference between the second condensation temperature and the third condensation temperature. When the second condensation temperature is lower than the third condensation temperature, the second condensation temperature is lower, the debugging refrigeration power is higher than the input refrigeration power, and the first offset coefficient needs to be subjected to turn-down processing, so that the turn-down coefficient preset by the invention needs to be determined.
The adjusted first offset coefficient is obtained by the following formula,
Figure 115543DEST_PATH_IMAGE024
wherein the content of the first and second substances,
Figure 571932DEST_PATH_IMAGE025
is the second condensation temperature and is the temperature of the second condensation,
Figure 327398DEST_PATH_IMAGE025
is the third condensing temperature and is the temperature of the second condensing temperature,
Figure 948084DEST_PATH_IMAGE027
for the adjusted first offset coefficient the first offset coefficient,
Figure 763593DEST_PATH_IMAGE028
in order to increase the coefficient, the coefficient is adjusted to be large,
Figure 707279DEST_PATH_IMAGE029
to turn down the coefficients.
In that
Figure 857DEST_PATH_IMAGE044
When passing through
Figure DEST_PATH_IMAGE045
The forward adjustment amplitude of the first offset coefficient can be obtained,
Figure 792226DEST_PATH_IMAGE046
the larger the first offset coefficient after adjustment. In that
Figure DEST_PATH_IMAGE047
When passing through
Figure 60528DEST_PATH_IMAGE045
The reverse adjustment amplitude of the first offset coefficient can be obtained,
Figure 491509DEST_PATH_IMAGE048
the larger the first offset coefficient is, the smaller the adjusted first offset coefficient is.
According to the technical scheme provided by the invention, the first offset coefficient can be dynamically adjusted according to the active input of an administrator and a user, so that the obtained first offset coefficient is more suitable for the current calculation scene, and the next-time calculated debugging refrigeration power is more accurate.
The technical solution provided by the present invention, as shown in fig. 4, is another use scenario of the technical solution provided by the present invention, and includes 1 rectification chamber and a plurality of condensation chambers. When petroleum is rectified, different components in the petroleum need to be rectified at different temperatures, and the gasified state of a certain component can be condensed in each condensation chamber to obtain liquefied liquid. In the actual condensation process, the temperature in the rectification chamber can be gradually increased, the component with lower temperature is rectified firstly and then gradually increased, so that different condensation chambers can work at different times. For example, there are 3 components of liquid, the 1 st component of liquid is vaporized at 100 degree, the 2 nd component of liquid is vaporized at 150 degree, the 3 rd component of liquid is vaporized at 200 degree, the temperature of the rectification chamber is controlled to be increased to 100 degree to 150 degree, at this time, the 1 st component of liquid is vaporized and flows into the first condensation chamber for collection treatment. After the 1 st component liquid is completely gasified, the temperature of the rectifying chamber is controlled to be increased to 150 ℃ to 200 ℃, and then the 2 nd component liquid is gasified and flows into a second condensing chamber to be condensed and collected. After the liquid of the 3 rd component is completely gasified, the temperature of the rectifying chamber is controlled to be increased to more than 200 ℃, and the gasified liquid of the 3 rd component flows into a third condensing chamber to be condensed and collected.
In a possible embodiment, the technical solution provided by the present invention further includes:
and acquiring the debugging refrigeration power corresponding to each distilled gas, and sequencing each distilled gas in an ascending order according to the corresponding debugging refrigeration power to obtain a refrigeration power sequence. The invention can obtain the debugging refrigeration power corresponding to each distilled gas and sort according to the numerical value of the debugging refrigeration power.
And obtaining a target transmission pipeline and a target condensation chamber corresponding to the distilled gas to be distilled, wherein the target transmission pipeline is respectively communicated with the rectification chamber and the corresponding target condensation chamber. As shown in the scenario in fig. 4, when the liquid of the 1 st component is vaporized, the target transfer pipeline and the target condensation chamber corresponding to the distilled gas to be distilled can be understood as the transfer pipeline and the condensation chamber corresponding to the liquid of the 2 nd component.
Because the corresponding liquid is condensed and collected in the target condensation chamber, the technical scheme provided by the invention firstly carries out precooling treatment on the target condensation chamber, namely, the target condensation chamber is cooled by the condenser in advance, so that after the liquid of the 1 st component is completely gasified, the liquid of the 2 nd component can be directly gasified and then is guided to the target condensation chamber for condensation treatment, and the corresponding condensed liquid is obtained.
And obtaining a first distillation time period according to the volume information of the distilled stock solution and the first distillation temperature of the current distillation gas. According to the technical scheme provided by the invention, a first distillation time period needs to be determined firstly, wherein the first distillation time period can be understood as a time period for completely gasifying the liquid of the 1 st component, the first distillation time period can be obtained according to the volume information of the distilled stock solution (petroleum mixed solution) and the first distillation temperature of the current distillation gas, and the first distillation time period is longer when the volume information of the distilled stock solution is larger and the first distillation temperature is higher.
In calculating the first distillation period, a standard distillation period having a corresponding standard distillation volume and a standard distillation temperature may be previously tested, a standard volume difference may be obtained according to a relationship between the standard distillation volume and a volume of the distillation raw liquid, a standard temperature difference may be obtained according to a relationship between the standard distillation temperature and the first distillation temperature, the first distillation period may be calculated by the following formula,
Figure DEST_PATH_IMAGE049
wherein the content of the first and second substances,
Figure 119936DEST_PATH_IMAGE050
in order to provide the first distillation period,
Figure DEST_PATH_IMAGE051
is the volume of the distillation stock solution,
Figure 969075DEST_PATH_IMAGE052
is a standard distillation volume and is a standard distillation volume,
Figure DEST_PATH_IMAGE053
is a value of a first standard constant which,
Figure 657545DEST_PATH_IMAGE054
the temperature of the first distillation is set as the first distillation temperature,
Figure DEST_PATH_IMAGE055
is the standard distillation temperature of the distilled water,
Figure 857714DEST_PATH_IMAGE056
is a value of a second standard constant and,
Figure DEST_PATH_IMAGE057
standard distillation time period.
If the difference between the standard distillation volume and the volume of the distillation stock solution is larger, the
Figure 24253DEST_PATH_IMAGE058
The larger the first distillation period obtained at this time. If the difference between the first distillation temperature and the standard distillation temperature is larger, the larger the difference is
Figure DEST_PATH_IMAGE059
The larger the first distillation period obtained at this time. First standard constant value
Figure 993477DEST_PATH_IMAGE053
And a second standard constant value
Figure 56111DEST_PATH_IMAGE056
The setting can be preset by an administrator and a user.
And determining the refrigeration power corresponding to the next distilled gas positioned in the current distilled gas in the refrigeration power sequence as the target refrigeration power, and obtaining the target condensation time period according to the current temperature value, the target refrigeration power and the preset condensation temperature value of the target condensation chamber corresponding to the next distilled gas. According to the technical scheme provided by the invention, the refrigeration power corresponding to the next distilled gas of the current distilled gas is taken as the target refrigeration power, and then the target condensation time period is calculated, wherein the target condensation time period is the time period for which the target condenser is reduced from the current temperature by the preset condensation temperature value.
In a possible implementation manner, the step of obtaining the target condensation time period according to the current temperature value, the target refrigeration power, and the preset condensation temperature value of the target condensation chamber corresponding to the subsequent distilled gas specifically includes:
and obtaining the target change temperature of the target condensing chamber according to the difference value between the current temperature value of the target condensing chamber and the preset condensing temperature. The present invention will first find the target change temperature of the target condensing chamber, the longer the time period may be required if the target change temperature is.
And calculating according to the target change temperature of the target condensing chamber and the target refrigerating power of the target condensing chamber to obtain the target condensing time period of the target condensing chamber.
The target condensing time period of the target condensing chamber is calculated by the following formula,
Figure 196105DEST_PATH_IMAGE030
wherein, the first and the second end of the pipe are connected with each other,
Figure 651488DEST_PATH_IMAGE031
is a target condensing period of the target condensing chamber,
Figure 193328DEST_PATH_IMAGE032
is the current temperature value of the target condensing chamber,
Figure 692443DEST_PATH_IMAGE033
is a target ofThe target change temperature of the condensing chamber,
Figure 319733DEST_PATH_IMAGE034
in order to achieve the target cooling power,
Figure 47649DEST_PATH_IMAGE035
in order to be the value of the power conversion,
Figure 709574DEST_PATH_IMAGE036
is a temporal weight value. Generally, the target refrigeration power of the target condensation chamber is fixed, then the length of the target condensation time period is obtained according to the target change temperature of the target condensation chamber, the power conversion value can be preset, and the power conversion value can be regarded as the conversion coefficient of power and temperature in the target condensation chamber in unit time, and the conversion coefficient has a certain relation with the dimensional conditions such as the volume size and the sealing of the condensation chamber.
And taking the last moment of the first distillation time period as an initial time point, and obtaining a condensation starting time point according to the initial time point and the target condensation time period. The invention takes the last moment of the first distillation period as the starting time point, for example, the first distillation period is 3 hours, the starting time is 8 hours, the first distillation period at this time is 8 hours, 9 hours, 10 hours and 11 hours, the starting time point at this time is 11 hours, the target condensation period is 1 hour, and the condensation starting time point at this time is 10 hours.
And controlling the operation of the condenser corresponding to the subsequent distilled gas in the condensation starting time so as to achieve the purpose of cooling the condensation chamber. The invention can control the condenser corresponding to the next distilled gas to work at the condensing start time, so that the temperature of the condensing chamber can meet the condensing requirement on the next distilled gas, the condensing efficiency is improved, seamless condensing switching can be realized during liquid rectification, and the maximum condensing efficiency can be directly reached.
According to the technical scheme provided by the invention, in the step of taking the last moment of the first distillation time period as the starting time point and obtaining the condensation starting time point according to the starting time point and the target condensation time period, the method specifically comprises the following steps:
and obtaining a preliminary calculation time point according to the starting time point and the target condensation time period. At time 10, the time point may be regarded as a preliminary calculation time point.
And carrying out offset processing on the preliminary calculation time point to obtain a condensation starting time point. The invention can carry out offset processing on the preliminarily calculated time point, when the offset value can be 0.5 and the condensation starting time point can be 9.5, the method can ensure that the target condensation chamber avoids the refrigeration efficiency from generating certain influence caused by other factors, so that the condensation time is increased by a part, the target condensation chamber is ensured to carry out condensation processing when gas-phase substances needing to be condensed are input, and the condensation efficiency is improved.
In order to realize the intelligent debugging method of the rectifying tower condenser based on artificial intelligence, the invention also provides an intelligent debugging device of the rectifying tower condenser based on artificial intelligence, which comprises a rectifying chamber and a condensing chamber, wherein the rectifying chamber and the condensing chamber are positioned in the rectifying tower and are communicated through a transmission pipeline, and the intelligent debugging of the condenser is realized through the following modules, as shown in figure 5, the intelligent debugging device specifically comprises the following steps:
the condensation temperature acquisition module is used for adjusting the refrigeration power of the condenser to the preset refrigeration power and working for a first preset time to acquire a first condensation temperature in the condensation chamber;
the distillation temperature acquisition module is used for acquiring a first distillation temperature of current distillation gas in a rectifying chamber of the rectifying tower and acquiring a temperature change value according to the first distillation temperature and a preset condensation temperature;
the gas quantity value generating module is used for acquiring the current gas flow value of the transmission pipeline and generating a first gas quantity value according to the current gas flow value and the attribute information of the transmission pipeline;
the change trend calculation module is used for calculating the temperature change value and a preset temperature change value to obtain a temperature change trend value and calculating the first gas quantity value and the preset gas quantity value to obtain a quantity value change trend value;
and the debugging module is used for debugging the preset refrigeration power according to the temperature change trend value and the magnitude change trend value to obtain the debugging refrigeration power, and controlling the condenser according to the debugging refrigeration power so as to enable the condensing chamber to be from the first condensation temperature to the second condensation temperature.
The present invention also provides a storage medium having a computer program stored therein, the computer program being executable by a processor to implement the methods provided by the various embodiments described above.
The storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device. The storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tapes, floppy disks, optical data storage devices, and the like.
The present invention also provides a program product comprising execution instructions stored in a storage medium. The at least one processor of the device may read the execution instructions from the storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of hardware and software modules.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. The utility model provides a rectifying column condenser intelligent debugging method based on artificial intelligence, which characterized in that, including the rectifying chamber that is located the rectifying column, the condensation chamber that is located condenser department, rectifying chamber and condensation chamber pass through transmission pipeline intercommunication, debugs the condenser intelligence through following steps, specifically includes:
after the refrigeration power of the condenser is adjusted to the preset refrigeration power and works for a first preset time, a first condensation temperature in the condensation chamber is obtained;
obtaining a first distillation temperature of current distillation gas in a distillation chamber of a distillation tower, and obtaining a temperature change value according to the first distillation temperature and a preset condensation temperature;
acquiring a current gas flow value of a transmission pipeline, and generating a first gas quantity value according to the current gas flow value and attribute information of the transmission pipeline;
calculating the temperature change value and a preset temperature change value to obtain a temperature change trend value, and calculating the first gas quantity value and the preset gas quantity value to obtain a quantity value change trend value;
debugging the preset refrigeration power according to the temperature change trend value and the magnitude change trend value to obtain debugging refrigeration power, and controlling the condenser according to the debugging refrigeration power to enable the condensation chamber to be from a first condensation temperature to a second condensation temperature.
2. The intelligent debugging method of the rectifying tower condenser based on artificial intelligence as claimed in claim 1,
in the step of obtaining a first distillation temperature of a current distillation gas in a rectifying chamber of a rectifying tower and obtaining a temperature change value according to the first distillation temperature and a preset condensation temperature, the method specifically comprises the following steps:
obtaining a first distillation temperature according to the distillation temperatures at a plurality of moments in the rectification chamber within a second preset time period;
and obtaining a temperature change value according to the difference value of the first distillation temperature and a preset condensation temperature.
3. The intelligent debugging method of the rectifying tower condenser based on artificial intelligence as claimed in claim 2, wherein,
in the step of calculating the temperature change value and the preset temperature change value to obtain a temperature change trend value, and calculating the first gas quantity value and the preset gas quantity value to obtain a quantity change trend value, the method specifically includes:
comparing the temperature change value with a preset temperature change value to obtain a first temperature difference value, and obtaining a temperature change trend value according to the first temperature difference value;
comparing the first gas quantity value with a preset gas quantity value to obtain a first gas difference value, and obtaining a quantity value change trend value according to the first gas difference value;
the temperature variation tendency value and the magnitude variation tendency value are calculated by the following formulas,
Figure DEST_PATH_IMAGE002
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE004
in order to obtain the temperature variation trend value,
Figure DEST_PATH_IMAGE006
in order to be the weight value of the temperature change,
Figure DEST_PATH_IMAGE008
for the second preset time period
Figure DEST_PATH_IMAGE010
The first distillation temperature at a given point in time,
Figure DEST_PATH_IMAGE012
is the upper limit value of the time in the second preset time period,
Figure DEST_PATH_IMAGE014
is a quantity value of a time of day,
Figure DEST_PATH_IMAGE016
in order to preset the condensation temperature, the temperature of the condenser is set,
Figure DEST_PATH_IMAGE018
is a first value of a normalization constant that,
Figure DEST_PATH_IMAGE020
in order to preset the value of the temperature change,
Figure DEST_PATH_IMAGE022
in order to obtain a value of the magnitude trend,
Figure DEST_PATH_IMAGE024
in order for the magnitude to vary the weight value,
Figure DEST_PATH_IMAGE026
is the cross-sectional area of the transfer pipeline,
Figure DEST_PATH_IMAGE028
to determine the flow rate of the gas in the transport pipe,
Figure DEST_PATH_IMAGE030
for the second value of the normalization constant, the value of the constant,
Figure DEST_PATH_IMAGE032
is a preset gas quantity value.
4. The intelligent debugging method of rectifying tower condenser based on artificial intelligence as claimed in claim 3, characterized in that,
in the step of debugging the preset refrigeration power according to the temperature change trend value and the magnitude change trend value to obtain a debugging refrigeration power, and controlling the condenser according to the debugging refrigeration power to enable the condensing chamber to be from a first condensing temperature to a second condensing temperature, the method specifically comprises the following steps:
carrying out offset calculation on preset refrigeration power debugging according to the temperature change trend value and the magnitude change trend value to obtain debugging refrigeration power;
the debugging cooling power is calculated by the following formula,
Figure DEST_PATH_IMAGE034
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE036
in order to debug the cooling power,
Figure DEST_PATH_IMAGE038
in order to adjust the coefficient for the temperature,
Figure DEST_PATH_IMAGE040
in order to debug the coefficients for the values,
Figure DEST_PATH_IMAGE042
in order to preset the cooling power, the cooling system is provided with a cooling device,
Figure DEST_PATH_IMAGE044
is a first offset coefficient to be a first offset coefficient,
Figure DEST_PATH_IMAGE046
is a coefficient constant;
and controlling the condenser to work for a third preset time period according to the debugging refrigeration power, and extracting a second condensation temperature of the condensation chamber after the third time period.
5. The intelligent rectification tower condenser debugging method based on artificial intelligence of claim 4, further comprising:
displaying the second condensation temperature, receiving power change information input by a user, and changing the debugging refrigeration power according to the power change information to obtain input refrigeration power;
controlling the condenser to work for a fourth preset time period according to the refrigeration power, and then obtaining a third condensation temperature of the condensation chamber after the fourth preset time period;
and obtaining offset modification information according to the second condensation temperature and the third condensation temperature, and updating the first offset coefficient according to the offset modification information.
6. The intelligent debugging method of the rectifying tower condenser based on artificial intelligence as claimed in claim 5, wherein,
in the step of obtaining offset modification information according to the second condensation temperature and the third condensation temperature, and performing update processing on the first offset coefficient according to the offset modification information, the method specifically includes:
if the second condensation temperature is higher than the third condensation temperature, determining an increase coefficient, and increasing and adjusting the first offset coefficient according to the increase coefficient and the difference between the second condensation temperature and the third condensation temperature;
if the second condensation temperature is lower than the third condensation temperature, determining a reduction coefficient, and reducing and adjusting the first offset coefficient according to the reduction coefficient and the difference between the second condensation temperature and the third condensation temperature;
the adjusted first offset coefficient is obtained by the following formula,
Figure DEST_PATH_IMAGE048
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE050
is the second condensation temperature and is the temperature of the second condensation,
Figure DEST_PATH_IMAGE052
is the third condensing temperature and is the temperature of the second condensing temperature,
Figure DEST_PATH_IMAGE054
for the adjusted first offset coefficient the first offset coefficient,
Figure DEST_PATH_IMAGE056
in order to increase the coefficient, the coefficient is adjusted to be large,
Figure DEST_PATH_IMAGE058
to turn down the coefficients.
7. The intelligent rectification tower condenser debugging method based on artificial intelligence of claim 4, further comprising:
obtaining debugging refrigeration power corresponding to each distilled gas, and sequencing each distilled gas in an ascending order according to the corresponding debugging refrigeration power to obtain a refrigeration power sequence;
obtaining a target transmission pipeline and a target condensation chamber corresponding to the distilled gas to be distilled, wherein the target transmission pipeline is respectively communicated with the rectification chamber and the corresponding target condensation chamber;
obtaining a first distillation time period according to the volume information of the distilled stock solution and the first distillation temperature of the current distillation gas;
determining the refrigeration power corresponding to the next distilled gas positioned in the current distilled gas in the refrigeration power sequence as target refrigeration power, and obtaining a target condensation time period according to the current temperature value, the target refrigeration power and a preset condensation temperature value of a target condensation chamber corresponding to the next distilled gas;
taking the last moment of the first distillation time period as an initial time point, and obtaining a condensation starting time point according to the initial time point and a target condensation time period;
and controlling the operation of the condenser corresponding to the subsequent distilled gas in the condensation starting time so as to achieve the purpose of cooling the condensation chamber.
8. The intelligent debugging method of the rectifying tower condenser based on artificial intelligence as claimed in claim 7, wherein,
in the step of determining the refrigeration power corresponding to the next distilled gas located in the current distilled gas in the refrigeration power sequence as the target refrigeration power, and obtaining the target condensation time period according to the current temperature value, the target refrigeration power and the preset condensation temperature value of the target condensation chamber corresponding to the next distilled gas, the method specifically includes:
obtaining a target change temperature of the target condensing chamber according to the difference value between the current temperature value of the target condensing chamber and a preset condensing temperature;
calculating according to the target change temperature of the target condensing chamber and the target refrigerating power of the target condensing chamber to obtain a target condensing time period of the target condensing chamber;
the target condensing time period of the target condensing chamber is calculated by the following formula,
Figure DEST_PATH_IMAGE060
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE062
for a target condensing time period of the target condensing chamber,
Figure DEST_PATH_IMAGE064
is the current temperature value of the target condensing chamber,
Figure DEST_PATH_IMAGE066
a target change temperature of the target condensing chamber is set,
Figure DEST_PATH_IMAGE068
in order to achieve the target cooling power,
Figure DEST_PATH_IMAGE070
in order to be the value of the power conversion,
Figure DEST_PATH_IMAGE072
is a temporal weight value.
9. The intelligent debugging method of the rectifying tower condenser based on artificial intelligence as claimed in claim 8,
the step of obtaining the condensation starting time point according to the starting time point and the target condensation time period by taking the last moment of the first distillation time period as the starting time point specifically comprises the following steps:
obtaining a preliminary calculation time point according to the starting time point and the target condensation time period;
and carrying out offset processing on the preliminary calculation time point to obtain a condensation starting time point.
10. The utility model provides a rectifying column condenser intelligent debugging device based on artificial intelligence, its characterized in that, including the rectifying chamber that is located the rectifying column, the condensation chamber that is located condenser department, rectifying chamber and condensation chamber pass through transmission pipeline intercommunication, specifically include to condenser intelligent debugging through following module:
the condensation temperature acquisition module is used for adjusting the refrigeration power of the condenser to preset refrigeration power and working for a first preset time to acquire a first condensation temperature in the condensation chamber;
the distillation temperature acquisition module is used for acquiring a first distillation temperature of current distillation gas in a rectifying chamber of the rectifying tower and acquiring a temperature change value according to the first distillation temperature and a preset condensation temperature;
the gas quantity value generating module is used for acquiring a current gas flow value of a transmission pipeline and generating a first gas quantity value according to the current gas flow value and attribute information of the transmission pipeline;
the variation trend calculation module is used for calculating the temperature variation value and a preset temperature variation value to obtain a temperature variation trend value and calculating the first gas quantity value and the preset gas quantity value to obtain a quantity value variation trend value;
and the debugging module is used for debugging the preset refrigeration power according to the temperature change trend value and the magnitude change trend value to obtain the debugging refrigeration power, and controlling the condenser according to the debugging refrigeration power so as to enable the condensing chamber to be from the first condensation temperature to the second condensation temperature.
CN202210394545.XA 2022-04-15 2022-04-15 Rectifying tower condenser intelligent debugging method and device based on artificial intelligence Active CN114470842B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210394545.XA CN114470842B (en) 2022-04-15 2022-04-15 Rectifying tower condenser intelligent debugging method and device based on artificial intelligence

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210394545.XA CN114470842B (en) 2022-04-15 2022-04-15 Rectifying tower condenser intelligent debugging method and device based on artificial intelligence

Publications (2)

Publication Number Publication Date
CN114470842A CN114470842A (en) 2022-05-13
CN114470842B true CN114470842B (en) 2022-06-17

Family

ID=81489650

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210394545.XA Active CN114470842B (en) 2022-04-15 2022-04-15 Rectifying tower condenser intelligent debugging method and device based on artificial intelligence

Country Status (1)

Country Link
CN (1) CN114470842B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115688592B (en) * 2022-11-09 2023-05-09 福建德尔科技股份有限公司 Rectification control system and method for preparing electronic-grade carbon tetrafluoride
CN116077973B (en) * 2023-04-11 2023-06-20 普瑞奇科技(北京)股份有限公司 Intelligent temperature control method and system for vacuum oil filter

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07151419A (en) * 1993-11-30 1995-06-16 Kubota Corp Heat pump
CN108388137A (en) * 2018-04-17 2018-08-10 西安庆港洁能科技有限公司 A kind of method and apparatus of light ends unit operating point parameter optimization
CN111271833A (en) * 2018-12-05 2020-06-12 维谛技术有限公司 Air conditioning system, and operation control method and device of air conditioning system
CN112682988A (en) * 2020-12-28 2021-04-20 江苏拓米洛环境试验设备有限公司 Control method and device for refrigerant flow and refrigeration equipment

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07151419A (en) * 1993-11-30 1995-06-16 Kubota Corp Heat pump
CN108388137A (en) * 2018-04-17 2018-08-10 西安庆港洁能科技有限公司 A kind of method and apparatus of light ends unit operating point parameter optimization
CN111271833A (en) * 2018-12-05 2020-06-12 维谛技术有限公司 Air conditioning system, and operation control method and device of air conditioning system
CN112682988A (en) * 2020-12-28 2021-04-20 江苏拓米洛环境试验设备有限公司 Control method and device for refrigerant flow and refrigeration equipment

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
遗传算法在含不凝气体冷凝传热试验中的应用;周姗等;《科学技术与工程》;20151208(第34期);全文 *

Also Published As

Publication number Publication date
CN114470842A (en) 2022-05-13

Similar Documents

Publication Publication Date Title
CN114470842B (en) Rectifying tower condenser intelligent debugging method and device based on artificial intelligence
Orfi et al. Air humidification–dehumidification for a water desalination system using solar energy
CN101413709B (en) Cooling water flow control method for optimizing total energy consumption of refrigerating machine and cooling water pump
CN205269088U (en) Vacuum rectifying apparatus with built -in roots vacuum pump
CN113654282B (en) Defrosting system of air source heat pump and defrosting judgment method
CN103566612B (en) A kind of compression heat pump rectifier unit and technique
CN110105216B (en) Self-backheating rectification method and device
CN114279121A (en) Defrosting control method and device, electronic equipment and storage medium
CN105315132A (en) System and method used for energy utilization between ethylene glycol device dehydrating tower and refining tower
CN105417603A (en) Negative-pressure low-reflux-ratio coking wastewater distillation method
CA1164399A (en) Energy efficient apparatus and process for vaporizing a liquid and condensing the vapors thereof
CN104841152A (en) Heat pump-type thermal self-circulation rectification process
CN106895601A (en) A kind of steam compression-enhanced refrigeration system occurrence temperature establishing method
WO2022083055A1 (en) Frequency conversion system
CN109510243A (en) A kind of global MPPT control method and system of Miniature inverter photovoltaic system
CN113218109B (en) Intelligent regulation and control device and method for deep waste heat recovery
CN210559373U (en) Novel hydrogen fluoride preparation device capable of realizing energy conservation by using acid cooling mode
CN204963269U (en) Dc -inverter compressing and condensing unit
CN209173405U (en) A kind of alcohol distillation system
CN201916287U (en) Oil temperature control system of refrigerating hydraulic system
CN101982381B (en) Novel oil gas recovery device
CN209423558U (en) A kind of vacuum control unit and vacuum control reaction kettle
CN221267181U (en) Acetic acid recovery rectifying column waste heat refrigerating system
CN113686170B (en) Cold end follow-up tracking adjustment method and system for short-period steam turbine
CN211521584U (en) Hydrofluoric acid rectification, degasser

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant