A control system and method for methyl formate distillation

Abstract

The present invention discloses a control system and method for methyl formate distillation, and relates to the field of distillation separation technology. It includes obtaining operation data, the operation data acts on the production equipment, and is used to provide the distillation index of methyl formate; obtaining the production data of methyl formate during reaction distillation, the production data includes: temperature data, pressure data and catalyst activity data, and building a correlation model based on the production data; the correlation model is based on the type of production data, and derives a number of influencing indicators based on the type of production data. The present invention constructs a correlation model and a feedback model, so that when the system is running, it can automatically identify abnormal conditions in the production process, and generate adjustment suggestions in time, reduce human intervention, and reduce production costs. The introduction of the reciprocating rule module enables the system to optimize the production process according to the production situation after the adjustment suggestion is output, and achieve continuous improvement.

Description

Technical Field

[0001] The invention relates to the technical field of distillation separation, and in particular to a control system and method for distilling methyl formate. Background Art

[0002] The production process of methyl formate often involves chemical reactions, such as the hydrolysis reaction of methyl formate. This reaction needs to be carried out under specific temperature, pressure and catalyst conditions to ensure the high efficiency of the reaction and the selectivity of the product. Therefore, a reactive distillation system and method are needed to provide a stable reaction environment to ensure the progress of the reaction and the generation of the product.

[0003] After searching, the Chinese invention patent with publication number "CN117771714A" discloses a device and method for increasing the production of ethyl methyl carbonate by recycling gaseous materials. The application changes the boiling point of ethyl methyl carbonate, thereby realizing the separation process according to the difference in boiling points of products such as ethyl methyl carbonate, formic acid, and acetic acid, and then uses the condensation process of matching corresponding temperatures to condense the vapors of different products to obtain liquids or crystals, thereby achieving the purpose of increasing production by recycling gaseous materials;

[0004] In addition, the Chinese invention patent with publication number "CN113082780A" discloses "an alcohol ester separation device and separation method for an alcohol ester mixture". The application uses heat transfer oil to evenly transfer the temperature to the outer wall of the guide pipe, and uses an infrared temperature detector to check it, so that the temperature of the area passed by the gas material in the guide pipe decreases linearly, and then the different boiling points of different substances in the mixture are used to extract alcohol esters and other substances. The separation operation is efficient and can separate a variety of different substances at the same time.

[0005] However, the above-mentioned disclosed patents and similar patents still have some problems in actual operation. For example, the state fluctuations during the reaction process are difficult to monitor in real time, resulting in the inability to accurately control the reaction conditions and abnormal conditions when they occur, which makes it easy for operators to make mistakes when making adjustments, thereby affecting production efficiency and product quality. Summary of the invention

[0006] The object of the present invention is to provide a control system and method for methyl formate distillation to solve the problems raised in the above background technology.

[0007] In the first aspect, to achieve the above-mentioned object, the present invention provides the following technical solution: a control method for distillation of methyl formate, comprising:

[0008] Acquiring operation data, the operation data acting on the production equipment during the reactive distillation of methyl formate, and used to provide distillation indexes of methyl formate;

[0009] Obtain production data during reactive distillation of methyl formate, including temperature data, pressure data, and catalyst activity data, and build a correlation model based on the production data;

[0010] The correlation model derives several influencing indicators based on the types of production data, and the influencing indicators are used to provide the optimization direction of the methyl formate distillation process;

[0011] Acquire the status data of production equipment in real time, build a status fluctuation diagram based on the time axis, associate the influencing indicators with the status fluctuation diagram, and output the node data including the timestamp;

[0012] Construct a feedback model. The feedback model obtains the material status in the production equipment based on the node data and outputs feedback data based on the distillation index. The feedback data acts on the production equipment and generates adjustment suggestions.

[0013] Execute the adjustment suggestion, change the preset operating parameters of the production equipment, reacquire the status data based on the change of the operating parameters, and compare it with the distillation index;

[0014] Construct reciprocating rules to optimize production equipment based on the comparison results.

[0015] As a further preferred embodiment of the present technical solution, the association model includes:

[0016] Obtain the type of production data, associate it with the time axis, and construct a curve display chart based on the time axis and the value of the type of production data. The curve display chart is used to show the change trend of production data in different time periods;

[0017] Obtain the peak point of any production data curve in the curve display diagram, obtain the time point at which the peak point is located, obtain all curve data in the curve display diagram based on the time point, and integrate them into impact indicators.

[0018] As a further preferred embodiment of the present technical solution, the association model includes:

[0019] Obtain the type of production data, associate it with the time axis, and construct a curve display chart based on the time axis and the value of the type of production data. The curve display chart is used to show the change trend of production data in different time periods;

[0020] Get the peak point of any production data curve in the curve display chart, get the slope of the peak point, get the position of the same slope value in all curve data in the curve display chart based on the slope value, synchronize the time point of the curve display chart, and integrate it into the impact indicator.

[0021] As a further preferred embodiment of the present technical solution, the association model includes:

[0022] Obtain the type of production data, associate it with the time axis, and construct a curve display chart based on the time axis and the value of the type of production data. The curve display chart is used to show the change trend of production data in different time periods;

[0023] Retrieve and obtain the interaction point positions of any two or more curves in the curve display diagram, obtain the corresponding time points based on the interaction point positions, and integrate them into impact indicators.

[0024] As a further preferred embodiment of the present technical solution, the status data includes:

[0025] Catalyst morphology data, material concentration data in the reactor, and material flow data in the reactor;

[0026] The construction method of the state fluctuation diagram includes:

[0027] Obtain the type of status data, associate it with the timeline, and build a status fluctuation chart based on the timeline and the value of the status data type. The status fluctuation chart is used to show the changing trend of status data in different time periods;

[0028] The time points included in the impact indicators are obtained, and the state data values ​​of the state fluctuation diagram are obtained based on the time points, and are output together with the impact indicators as node data containing a timestamp.

[0029] As a further preferred embodiment of the present technical solution, the feedback model includes:

[0030] Analyze the node data, obtain the material status in the production equipment, extract the characteristic parameters in the distillation index, select the characteristic point data with the same character meaning in the integrated data based on the character meaning in the characteristic parameters, eliminate all data except the characteristic point data in the integrated data, and summarize and integrate them into feedback data based on the time axis.

[0031] As a further preferred embodiment of the present technical solution, the method for applying feedback data to production equipment and generating adjustment suggestions includes:

[0032] The ratio of the total data volume in each feature point data in the feedback data is used to represent the degree of deviation of the material state in the production equipment. Based on the degree of deviation, the priority set coefficient is output inversely proportional to the degree of deviation. The sum of all the priority set coefficients and the degree of deviation is zero. Based on the priority set coefficient, the operation position in the production equipment is located. Based on the size of the feature point data value, the operating parameters of the production equipment are adjusted in reverse. The operating parameters and the operating position of the production equipment are integrated to form adjustment suggestions.

[0033] As a further preferred embodiment of the present technical solution, the reciprocating rule includes:

[0034] Obtaining data values ​​of status data in the comparison result, obtaining an operation threshold value based on the distillation index, and comparing it with the data value, and determining whether it is within an acceptable range based on the comparison result;

[0035] If the data value is within the operating threshold range, the current operating parameters are kept unchanged and the status data continues to be monitored;

[0036] If the data value exceeds the operating threshold range, the above-mentioned correlation model building steps are repeated, and the production data is re-acquired and the curve display diagram is updated, and the influencing indicators are reintegrated according to the new peak point and slope value.

[0037] In the second aspect, in order to improve the above technical solution, the present invention also proposes a system using the above method for controlling the distillation of methyl formate, and comprising:

[0038] A data acquisition module is used to collect various production data in the reactive distillation process of methyl formate in real time, including temperature, pressure and catalyst activity, and transmit the data to a data processing module;

[0039] A data processing module, used for receiving data from the data acquisition module and constructing a state fluctuation diagram based on a time axis;

[0040] Feedback model module, used to parse node data, obtain material status in production equipment, and extract characteristic parameters based on distillation indicators;

[0041] An adjustment suggestion generation module is used to calculate the priority coefficient based on the feature point data in the feedback data, locate the operation position in the production equipment, and reversely adjust the operation parameters of the production equipment according to the value of the feature point data, integrate the operation parameters and the operation position, and form an adjustment suggestion;

[0042] An execution module is used to receive adjustment suggestions and change the preset operating parameters of the production equipment;

[0043] The reciprocating rule module is used to build an association model based on the comparison results;

[0044] User interface, which is used to provide a control display interface so that operators can monitor the production process, view status fluctuation diagrams, influencing indicators, node data and adjustment suggestions;

[0045] Storage module: used to store all collected data, generated models, node data, feedback data and adjustment suggestions.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] The control system and method for methyl formate distillation can adjust the operating parameters of production equipment in real time by analyzing the change range of production data and product data in the methyl formate distillation process and combining the distillation index of methyl formate to be achieved, thereby improving the production efficiency and product quality of methyl formate.

[0048] It should be added that the control system and method for methyl formate distillation ensures the transparency of the production process through the real-time data acquisition function of the data acquisition module, so that the operator can understand the production status in time. In addition, the data processing module intuitively displays the changing trend of the production data by constructing a state fluctuation diagram, which is convenient for the operator to quickly identify the problem. The feedback model module parses the node data and extracts the characteristic parameters, providing an accurate basis for the adjustment suggestion generation module.

[0049] It should be added that the adjustment suggestion generation module calculates the priority set coefficient based on the feedback data, and adjusts the operating parameters of the production equipment in reverse based on the size of the feature point data value to ensure that the production process is always in the best state. After receiving the adjustment suggestion, the execution module changes the preset operating parameters of the production equipment to achieve dynamic optimization of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A flow chart of a control method for distillation of methyl formate according to the present invention;

[0051] Figure 2 A curve display diagram based on a time axis and production data type values ​​disclosed in the present invention;

[0052] Figure 3 The present invention is a control system composition diagram for methyl formate distillation. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 the present invention.

[0054] In the process of generating methyl formate, a hydrolysis reaction of methyl formate is involved (HCOOCH2+H2O ↔CH2OH +HCOOH). It should be noted that when the hydrolysis reaction of methyl formate is actually carried out, it should be noted that when the control system and method for methyl formate distillation proposed in the present application are actually operated, the factors that need to be paid attention to are temperature, pressure, catalyst activity, and the concentrations of reactants and products. In order to ensure the smooth progress of the reaction, these factors need to be monitored and controlled.

[0055] like Figure 1 As shown, the present invention provides a technical solution: a control system and method for methyl formate distillation, comprising steps S100 to S600.

[0056] Step S100: acquiring operation data, and manually setting distillation indexes based on the operation data.

[0057] Specifically, in this embodiment, the operating data refers to the effect of methyl formate reactive distillation that the user wants to ultimately obtain, and the distillation index that can achieve the effect of methyl formate reactive distillation. In addition, it should be added that the content of the operating data includes: temperature setting value, pressure setting value and catalyst activity setting value. It should be noted that, in this embodiment, the production equipment for the reactive distillation of methyl formate is a distillation tower in the existing device. In the specific implementation process, the temperature, pressure, catalyst activity and other data in the distillation tower are first monitored in real time through the data acquisition module.

[0058] Specifically, in this embodiment, the distillation index refers to various parameters that can ensure that the reaction distillation process of methyl formate can proceed smoothly, such as temperature, pressure and flow rate;

[0059] Specifically, in the present embodiment, the production data refers to various parameters collected in real time during the reaction and distillation process of methyl formate, including temperature data, pressure data, and catalyst activity data in the reactor, which will be used to reflect the real-time status of the reaction and distillation process of methyl formate. It should be added that, in the present embodiment, the production data is obtained by installing several different sensors outside or inside the reactor, and each sensor corresponds to collecting temperature data, pressure data, and catalyst activity data in the reactor.

[0060] Step S200: constructing a correlation model based on the production data. It should be noted that, in this embodiment, the correlation model is based on the type of production data, and derives a number of influencing indicators based on the type of production data. The influencing indicators are used to provide an optimization direction for the methyl formate distillation process.

[0061] Specifically, in this embodiment, the correlation model is used to perform correlation analysis on the parameters of the methyl formate reactive distillation process in the production data, so as to better understand the influence relationship between the temperature data, the pressure data, and the catalyst activity data.

[0062] Specifically, in a specific embodiment of the present application, the association model includes step S210 and step S220.

[0063] Step S210: Obtain the type of production data, associate it with the time axis, and construct a curve display diagram based on the time axis and the value of the type of production data, where Figure 2 It can be seen that the curve display chart is used to show the changing trend of production data in different time periods.

[0064] It should be noted that, in the present embodiment, the method for acquiring the types of production data is based on a computer classifying the data transmitted by each sensor, and acquiring the types of production data by retrieving the ways in which different sensors collect production data. Furthermore, in the present embodiment, the method for associating the types of production data with the time axis and constructing a curve display diagram is to arrange the data collected by each sensor in chronological order through a computer mapping program, and plot these data points on the time axis to form a curve display diagram.

[0065] like Figure 2 As shown in the constructed curve display diagram, the horizontal axis represents the time of data operation, and the vertical axis represents the amount of data collected by the sensor within the time. It should be added that after the computer prepares the curve display diagram, the computer calculates the slope of each curve to determine the changing trend of the production data in different time periods.

[0066] Step S220: Obtain the peak point of any production data curve in the curve display diagram, obtain the time point where the peak point is located, obtain all curve data of the curve display diagram based on the time point, retrieve and obtain the interaction point position of any two or more curves in the curve display diagram, obtain the corresponding time point based on the interaction point position, and integrate them into impact indicators.

[0067] Specifically, in this embodiment, the influencing index is embodied in the comprehensive performance of reaching the peak value in the curve data, which is used to provide the optimization direction of the methyl formate distillation process, wherein the comprehensive performance includes: peak height, the height of the peak point represents the maximum value of the amount of data collected by the sensor at that time point, and the higher the height, the greater the intensity of the production activity during the time period; peak width, the width of the peak point represents the duration of reaching the peak state, and the wider the width, the longer the production activity lasts in the peak state; peak density, the peak density refers to the number of peaks occurring in a unit time, and the greater the density, the more frequent the fluctuations of the production activity during the time period.

[0068] It should be understood that, in this embodiment, there is also the following method for step S220.

[0069] Specifically, all curve data of the curve display diagram are obtained through a computer, the peak point of any production data curve of the curve display diagram is obtained, the time point at which the peak point is located is obtained, all curve data of the curve display diagram is obtained based on the time point, and output into impact indicator data through the existing data packaging program of the computer.

[0070] Furthermore, it should be added that, in this embodiment, there is also the following method for step S220.

[0071] Specifically, all curve data of the curve display diagram are obtained through a computer, the peak point of any production data curve of the curve display diagram is obtained, the slope of the peak point is obtained, the position of the same slope value in all curve data of the curve display diagram is obtained based on the slope value, and the time of the curve display diagram is synchronized to jointly output several different impact indicators.

[0072] It should be further added that, in this embodiment, the state data value represents the specific numerical value of the catalyst morphology, the material concentration in the reactor and the material flow rate at a specific time point.

[0073] Step S300: Acquire the state data in the production equipment, build a state fluctuation diagram based on the time axis, associate the influencing indicators with the state fluctuation diagram, and output the node data including the timestamp.

[0074] Specifically, in this embodiment, the method for constructing a state fluctuation diagram is to use an existing mapping program in a computer to generate a state fluctuation diagram with time as the x-axis and the amount of state data in the production equipment obtained as the y-axis, and to obtain a state curve diagram for representing the state in the ecological equipment by outputting the amount of state data in the production equipment in a continuous time period to the state fluctuation diagram, and then to decompress the indicator data and input the obtained data into the state fluctuation diagram, and then use a computer to obtain the junction point of the state fluctuation diagram and different indicator data lines, and obtain the time of the junction point, and output node data with a timestamp, wherein the node data is used to represent the critical point of normal operation in the methyl formate distillation process.

[0075] Step S400: constructing a feedback model.

[0076] It should be clear that in this embodiment, the feedback model obtains the material status in the production equipment based on the node data, and outputs feedback data based on the distillation index. The feedback data acts on the production equipment and generates adjustment suggestions. The adjustment suggestions are executed, and the preset operating parameters of the production equipment are changed. Based on the change of the operating parameters, the status data is re-obtained and compared with the distillation index, and a reciprocating rule is constructed. The reciprocating rule optimizes the production equipment based on the comparison results.

[0077] It should be added that, in the present embodiment, the feedback model is used to realize real-time monitoring and dynamic adjustment of the methyl formate reactive distillation process to ensure the stability of the production process and the improvement of product quality. It should be added that the construction of the feedback model includes steps S410 to S440.

[0078] Step S410: parse the node data to obtain the material status in the production equipment.

[0079] Specifically, in this embodiment, the node data includes timestamp, temperature data, pressure data, catalyst activity data, reactant concentration data, product concentration data and catalyst morphology data information. By parsing these node data, the material status in the production equipment is obtained.

[0080] Step S420: extracting characteristic parameters in the distillation index, and selecting characteristic point data with the same character meaning in the integrated data based on the character meaning in the characteristic parameters.

[0081] Specifically, in this embodiment, the method for obtaining the characteristic parameters is to extract the numerical parameters within the distillation index. For example, during actual operation, the operating data can be a temperature setting value of 100°C, a pressure setting value of 1.5 bar, and a catalyst activity setting value of medium. It should be added that based on the operating data during actual operation, the distillation index of methyl formate obtained is a temperature value between 95°C and 105°C, a pressure value between 1.4 and 1.6 bar, and a catalyst activity maintained at a medium level. At this time, the characteristic parameters obtained are temperature (95-105), pressure (1.4-1.6), and catalyst activity of medium.

[0082] It should be added that, in the present embodiment, the computer extracts features within the acquired characteristic parameters. For example, in the present embodiment, temperature, pressure and catalyst activity are extracted, and a common character retrieval program in the prior art in the computer is used to retrieve temperature, pressure and catalyst activity characters within the integrated data to obtain feature point data.

[0083] Step S430: Eliminate all data except the characteristic point data in the integrated data, and summarize and integrate them into feedback data in combination with the time axis.

[0084] Step S440: The feedback data acts on the production equipment and generates adjustment suggestions.

[0085] Specifically, in this embodiment, the method for feedback data to act on production equipment and generate adjustment suggestions is that the computer identifies the parameters that need to be adjusted by comparing the feedback data with the preset operating parameters of the production equipment. For example, if the feedback data indicates that the current temperature is lower than the range set by the distillation index, then the adjustment suggestion will indicate to increase the power of the heater to reach the target temperature. The adjustment suggestion will be sent to the production equipment through the computer control system, and the production equipment will automatically adjust the operating parameters according to the suggestion.

[0086] Step S500: executing the adjustment suggestion, changing the preset operating parameters of the production equipment, reacquiring the status data based on the change of the operating parameters, and comparing it with the distillation index.

[0087] It should be clear that in this embodiment, based on the change of the operating parameters, the state data is re-acquired and compared with the distillation index to verify the effectiveness of the adjustment suggestion and ensure the continuous optimization of the production process. The specific operations are as follows:

[0088] Step S510: adjusting the operating parameters of the production equipment according to the adjustment suggestions. This step involves operating the control system of the production equipment to ensure that the parameters are adjusted according to the adjustment suggestions generated by the feedback data. For example, if it is recommended to increase the power of the heater, the control system will increase the output power of the heater accordingly.

[0089] Step S520: Re-acquire the status data in the production equipment. After adjusting the operating parameters, the status data in the production equipment needs to be re-acquired to evaluate the impact of the adjustment suggestions on the production process. This step involves restarting the status data acquisition program and recording the new status data.

[0090] Step S530: Compare with distillation index. Compare the newly acquired state data with the distillation index to evaluate whether the production process has achieved the expected optimization goal. If the state data is within the distillation index range, it indicates that the adjustment suggestion is effective. If the state data does not reach the expected range, it is necessary to further analyze the cause and generate new adjustment suggestions.

[0091] S600: Construct a reciprocating rule, and optimize the production equipment based on the comparison result.

[0092] Specifically, in this embodiment, the reciprocating rule includes: step S610 to step S630.

[0093] Step S610: obtaining the data value of the state data in the comparison result, obtaining the operation threshold value based on the distillation index, and comparing it with the data value, and determining whether it is within the acceptable range based on the comparison result.

[0094] Specifically, in this embodiment, the method for obtaining the operating threshold value based on the distillation index is to set the operating threshold value to between 65% and 85% of the distillation index, and the method for obtaining the data value of the status data in the comparison result is to collect it in real time through a computer. Specifically, a sensor connected to the computer and the methyl formate reaction distillation equipment forms a connection network to monitor key parameters such as temperature, pressure, and flow rate in the tower in real time. These data are obtained in real time through wired or wireless means.

[0095] Step S620: If the data value is within the operating threshold range, the current operating parameters are kept unchanged and the status data continues to be monitored.

[0096] Step S630: If the data value exceeds the operating threshold range, repeat the above-mentioned correlation model construction step, reacquire the production data and update the curve display diagram, and reintegrate the impact indicators according to the new peak point and slope value.

[0097] As a preferred embodiment, Figure 3 It can be seen that this embodiment proposes a control system for methyl formate distillation. It should be noted that the control system for methyl formate distillation disclosed in this embodiment uses the control method for methyl formate distillation disclosed in all the above embodiments, and includes:

[0098] The data acquisition module is used to collect various production data in the reaction distillation process of methyl formate in real time, including temperature, pressure and catalyst activity, and transmit the data to the data processing module. The data processing module is used to receive data from the data acquisition module and build a state fluctuation diagram based on the time axis. The feedback model module is used to parse the node data, obtain the material state in the production equipment, and extract characteristic parameters based on the distillation index. The adjustment suggestion generation module is used to calculate the priority coefficient based on the characteristic point data in the feedback data, and locate the operation position in the production equipment, and adjust the operation parameters of the production equipment in reverse according to the size of the characteristic point data value, integrate the operation parameters and the operation position, and form adjustment suggestions. The execution module is used to receive adjustment suggestions and change the preset operation parameters of the production equipment. The reciprocating rule module is used to build an association model based on the comparison results. The user interface is used to provide a control display interface so that operators can monitor the production process, view the state fluctuation diagram, influencing indicators, node data and adjustment suggestions. The storage module: used to store all collected data, generated models, node data, feedback data and adjustment suggestions.

[0099] It should be noted that, in this embodiment, the data acquisition module is specifically various types of sensor devices in the prior art. The sensor devices can monitor and record the temperature, pressure, and catalyst activity parameters in the reaction distillation process of methyl formate in real time. These sensor devices are connected to the data processing module by wired or wireless means to ensure real-time transmission and processing of data. In addition, in this embodiment, the data processing module, feedback model module, feedback model module, execution module, reciprocating rule module, user interface and storage module are jointly designed in a computer device in the prior art, and are interconnected with various sensor devices through wireless transmission.

[0100] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. A control method for the distillation of methyl formate, characterized in that: include: Acquiring operation data, the operation data acting on the production equipment during the reactive distillation of methyl formate, and used to provide distillation indexes of methyl formate; Obtain production data during reactive distillation of methyl formate, including temperature data, pressure data, and catalyst activity data, and build a correlation model based on the production data; The correlation model derives several influencing indicators based on the types of production data, and the influencing indicators are used to provide the optimization direction of the methyl formate distillation process; Acquire the status data of production equipment in real time, build a status fluctuation diagram based on the time axis, associate the influencing indicators with the status fluctuation diagram, and output the node data including the timestamp; Construct a feedback model. The feedback model obtains the material status in the production equipment based on the node data and outputs feedback data based on the distillation index. The feedback data acts on the production equipment and generates adjustment suggestions. Execute the adjustment suggestion, change the preset operating parameters of the production equipment, reacquire the status data based on the change of the operating parameters, and compare it with the distillation index; Formulate reciprocating rules, which are based on the comparison results to optimize production equipment; Methods for applying feedback data to production equipment and generating adjustment suggestions include: Based on the ratio of the total data volume of each feature point data in the feedback data, the deviation degree of the material state in the production equipment is represented. Based on the deviation degree, the priority set coefficient is output inversely proportional to the height of the deviation degree. The sum of all priority set coefficients and the deviation degree is zero. Based on the priority set coefficient, the operation position in the production equipment is located. Based on the size of the feature point data value, the operation parameters of the production equipment are adjusted in reverse. The operation parameters and the operation position of the production equipment are integrated to form adjustment suggestions; The reciprocating rules include: Obtaining data values ​​of status data in the comparison result, obtaining an operation threshold value based on the distillation index, and comparing it with the data value, and determining whether it is within an acceptable range based on the comparison result; If the data value is within the operating threshold range, the current operating parameters are kept unchanged and the status data continues to be monitored; If the data value exceeds the operating threshold range, repeat the association model building step, reacquire the production data and update the curve display diagram, and reintegrate the impact indicators according to the new peak point and slope value; The association model includes: Obtain the type of production data, associate it with the time axis, and construct a curve display chart based on the time axis and the value of the type of production data. The curve display chart is used to show the change trend of production data in different time periods; Obtain the peak point of any production data curve in the curve display diagram, obtain the time point at which the peak point is located, obtain all curve data in the curve display diagram based on the time point, and integrate them into an impact indicator; or, obtain the peak point of any production data curve in the curve display diagram, obtain the slope at the peak point, obtain the position of the same slope value in all curve data in the curve display diagram based on the slope value, and synchronize the time point of the curve display diagram to integrate them into an impact indicator; or, retrieve and obtain the interaction point position of any two or more curves in the curve display diagram, obtain the corresponding time point based on the interaction point position, and integrate them into an impact indicator.

2. A control method for methyl formate distillation according to claim 1, characterized in that: The state data includes: catalyst morphology data, material concentration data in the reactor and material flow data in the reactor; The construction method of the state fluctuation diagram includes: Obtain the type of status data, associate it with the timeline, and build a status fluctuation chart based on the timeline and the value of the status data type. The status fluctuation chart is used to show the changing trend of status data in different time periods; The time points included in the impact indicators are obtained, and the state data values ​​of the state fluctuation diagram are obtained based on the time points, and are output together with the impact indicators as node data containing a timestamp.

3. A control method for methyl formate distillation according to claim 2, characterized in that: The feedback model includes: Analyze the node data, obtain the material status in the production equipment, extract the characteristic parameters in the distillation index, select the characteristic point data with the same character meaning in the integrated data based on the character meaning in the characteristic parameters, eliminate all data except the characteristic point data in the integrated data, and summarize and integrate them into feedback data based on the time axis.

4. A control system for methyl formate distillation, using a control method for methyl formate distillation according to any one of claims 1 to 3, characterized in that: include: A data acquisition module is used to collect various production data in the reactive distillation process of methyl formate in real time, including temperature, pressure and catalyst activity, and transmit the data to a data processing module; A data processing module, used for receiving data from the data acquisition module and constructing a state fluctuation diagram based on a time axis; Feedback model module, used to parse node data, obtain material status in production equipment, and extract characteristic parameters based on distillation indicators; An adjustment suggestion generation module is used to calculate the priority coefficient based on the feature point data in the feedback data, locate the operation position in the production equipment, and reversely adjust the operation parameters of the production equipment according to the value of the feature point data, integrate the operation parameters and the operation position, and form an adjustment suggestion; An execution module is used to receive adjustment suggestions and change the preset operating parameters of the production equipment; The reciprocating rule module is used to build an association model based on the comparison results; User interface, which is used to provide a control display interface so that operators can monitor the production process, view status fluctuation diagrams, influencing indicators, node data and adjustment suggestions; Storage module: used to store all collected data, generated models, node data, feedback data and adjustment suggestions.

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