CN-121979152-A - Continuous production process for synthesis and desolventizing and control system

CN121979152ACN 121979152 ACN121979152 ACN 121979152ACN-121979152-A

Abstract

The application relates to the technical field of fine chemical production, in particular to a synthesis and desolventizing continuous production process and a control system, which comprise a sensing and monitoring module, a collaborative decision-making module, an execution and control module and a control module, wherein the sensing and monitoring module is used for synchronously acquiring real-time rheological characteristic parameters and material conveying state parameters, the collaborative decision-making module is configured to trigger a first collaborative regulation instruction set when the material conveying state parameters meet preset abnormal characteristics, trigger a second collaborative regulation instruction set when the real-time rheological characteristic parameters exceed preset thresholds, and execute the first collaborative regulation instruction set to synchronously regulate the discharging power of a synthesis unit, the flow resistance characteristic parameters of material conveying and the feeding rate of a desolventizing unit, and execute the second collaborative regulation instruction set to synchronously regulate the shearing strength and the heat transfer strength of materials in the desolventizing unit. The application can sense the rheological property of the material in real time and dynamically and cooperatively regulate and control the upstream and downstream process parameters, thereby realizing the stable control and quality consistency of continuous production of the high-viscosity material.

Inventors

YANG FUJIE
GUO HAO
ZHANG XIAOGUANG
ZHANG DANHUA

Assignees

新乡市安胜科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260205

Claims (10)

1. The synthesis and desolventizing continuous production control system is characterized by comprising: The sensing and monitoring module is used for synchronously acquiring real-time rheological characteristic parameters of materials entering the desolventizing unit and material conveying state parameters of a discharge pipeline of the synthesizing unit; The collaborative decision-making module is connected with the perception monitoring module and is configured to trigger a first collaborative regulation and control instruction set when the material conveying state parameter meets the preset abnormal characteristic, and trigger a second collaborative regulation and control instruction set when the real-time rheological characteristic parameter exceeds the preset threshold; The execution regulation and control module is connected with the collaborative decision-making module and is used for executing the first collaborative regulation and control instruction set to synchronously regulate the discharging power of the synthesis unit, the flow resistance characteristic parameter of material conveying and the feeding rate of the desolventizing unit, and for executing the second collaborative regulation and control instruction set to synchronously regulate the shearing strength and the heat transfer strength of the material in the desolventizing unit, so that a closed-loop control system which takes the real-time rheological characteristic parameter as a core feedback variable and carries out self-adaptive collaborative matching on the upstream conveying resistance and the downstream process condition is formed.
2. The system of claim 1, wherein the collaborative decision module is further configured to determine an anomaly source category based on an association between the material delivery status parameter and the real-time rheological property parameter and dynamically adjust a trigger priority and an execution policy between the first collaborative regulatory instruction set and the second collaborative regulatory instruction set based on the anomaly source category.
3. The system according to claim 2, wherein the determining of the abnormality source category based on the association relation is specifically: judging whether material conveying is blocked or not based on whether the cooperative change of flow and pressure in the material conveying state parameters meets preset abnormal characteristics, and taking the judgment as a first-stage judgment; judging whether the viscosity of the material suddenly changes or not based on whether the real-time rheological characteristic parameter exceeds a preset threshold value, and judging as a second stage; And combining the first-stage judgment and the second-stage judgment, and classifying the abnormal source type into a physical blockage dominant type, a viscosity rapid change dominant type or a compound type.
4. The system of claim 3, wherein when the anomaly source category is distinguished as physical congestion dominant, the collaborative decision module configures and outputs a first collaborative regulatory instruction set configured to: Firstly, commanding to increase the discharging power of the synthesis unit so as to increase the conveying pressure; then, the instruction starts mechanical dredging intervention for the material conveying pipeline; And simultaneously, the feeding rate of the desolventizing unit is instructed to be reduced so as to be matched with the operation of the adjustment of the discharging power and the dredging intervention.
5. The system of claim 3, wherein when the anomaly source category is distinguished as viscosity-highly dominant, the collaborative decision module configures and outputs a second collaborative regulatory instruction set configured to: the shearing strength of the materials in the desolventizing unit is instructed to be reduced; simultaneously, the heat transfer strength of the desolventizing unit is instructed to be enhanced; And carrying out dynamic association and matching according to the amplitude of the real-time rheological characteristic parameter exceeding the preset threshold value.
6. The system of claim 3, wherein when the anomaly source categories are distinguished as composite, the collaborative decision module is configured to: Dynamically generating a composite regulation instruction set based on the respective satisfied states of the first-stage judgment and the second-stage judgment; The composite regulation instruction set is formed by carrying out instruction integration and dynamic coordination on the first cooperative regulation instruction set and the second cooperative regulation instruction set, wherein the triggering condition, the execution priority and the cooperative time sequence of the instruction are adaptively matched according to the real-time change of the material conveying blockage and the material viscosity rapid change.
7. The system of claim 3, wherein the collaborative decision module is further integrated with fault redundancy logic configured to perform the steps of: when a sensing signal corresponding to the material conveying state parameter or the real-time rheological characteristic parameter in the sensing monitoring module fails, determining a parameter estimation rule corresponding to the current abnormal source type according to the distinguished abnormal source type; based on the determined parameter estimation rule and the current effective residual sensing signals, estimating parameter values corresponding to the failure signals in real time; and providing the estimated parameter value for the collaborative decision module to maintain or adjust a collaborative regulation instruction set triggered based on the abnormal source category under the sensing signal failure working condition.
8. The system of claim 7, wherein the collaborative decision module is further integrated with state engagement logic configured to generate a third collaborative regulatory instruction set when the perception monitoring module detects a characteristic signal indicative of material transfer completion, the third collaborative regulatory instruction set configured to control the execution regulatory module to perform a production link switching operation; When the fault redundancy logic is activated, the state engagement logic is further configured to adjust the generation logic of the third coordinated instruction set based on the parameter values estimated in real-time by the fault redundancy logic.
9. The system of claim 7, wherein the collaborative decision module is further configured to dynamically reconstruct collaborative logic between the first collaborative regulatory instruction set, a second collaborative regulatory instruction set, and a third collaborative regulatory instruction set based on the estimated parameter values under conditions in which the fault redundancy logic is activated and parameter estimation is performed; the dynamic reconstruction comprises the steps of redefining a triggering sequence, an execution weight and a parameter coupling relation between different collaborative regulation instruction sets according to the parameter category to which the estimated parameter value belongs and the deviation state of the parameter category and a preset threshold value so as to maintain self-adaptive collaborative matching of the system under the sensing signal failure working condition.
10. Continuous production process for synthesis and desolventizing, characterized in that it is based on a system according to any one of claims 1-9, comprising the following steps: Synchronously acquiring real-time rheological characteristic parameters of materials entering the desolventizing unit and material conveying state parameters of a discharge pipeline of the synthesizing unit; Triggering a first cooperative regulation instruction set when the material conveying state parameter meets a preset abnormal characteristic, and triggering a second cooperative regulation instruction set when the real-time rheological characteristic parameter exceeds a preset threshold value; And executing the first cooperative regulation instruction set to synchronously regulate the discharging power of the synthesis unit, the flow resistance characteristic parameter of material conveying and the feeding rate of the desolventizing unit, and executing the second cooperative regulation instruction set to synchronously regulate the shearing strength and the heat transfer strength of the materials in the desolventizing unit.

Description

Continuous production process for synthesis and desolventizing and control system Technical Field The application relates to the technical field of fine chemical production, in particular to a synthesis and desolventizing continuous production process and a control system. Background The production of fine chemicals is increasingly being shifted from batch processes to continuous processes in pursuit of higher production efficiency, more stable product quality and lower energy and material consumption. In this transformation process, the production flow involving high viscosity intermediates or finished products presents serious challenges, especially where direct, seamless joining of the upstream synthesis process with downstream separation and purification processes is required. Such materials tend to exhibit extremely high viscosities at the later stages of the reaction or at specific process stages, with flow, mixing and heat transfer characteristics that are quite different from those of low viscosity fluids, which makes it difficult to achieve stable, reliable continuous operation with simple plumbing and basic automation, with the core contradiction focusing on how to adapt the control system to the rheological characteristics of the materials. To address the general problem of handling high viscosity materials, the prior art has generally improved from two relatively independent paths. The method is characterized in that reinforcement is carried out on the unit equipment level, for example, a specially designed stirring paddle, a static mixer or a screw extruder is adopted to reinforce mixing and conveying of high-viscosity materials, and means of increasing heat exchange area, introducing a wall scraper, applying high vacuum and the like can be combined in desolventizing or devolatilizing equipment. Secondly, single point constant value control or simple safety interlocking based on key process parameters is commonly adopted in a process control layer. For example, the reactor level may be maintained stable by adjusting the upstream discharge valve or an emergency closing of the feed valve may be triggered when an ultra high line pressure is detected. These methods have certain effects in the respective fields, but when the methods are combined and used in a continuous high-viscosity production system with closely coupled front and back working procedures, the existing system generally regards synthesis and post-treatment as independent units connected only through material flow, lacks a coordinated control strategy of cross units from the fluid characteristic, and cannot form a multi-parameter linkage mechanism taking a real-time state of the material as a core. The fundamental defect of the prior art scheme is that the static and isolated control logic cannot respond to the complex characteristic of multi-parameter dynamic strong coupling of high-viscosity materials under the continuous flow working condition, so that the interference resistance of the system is weak and the consistency of products is poor. For example, in the specific scene of dibutyl phthalate continuous production, when the water content fluctuation of raw butanol causes the viscosity of a synthesized product to rise from 300 mPa & s to 350 mPa & s in a short time, the existing system cannot recognize that the flow resistance increase caused by the viscosity rise is caused by the fact that the flow rate is reduced and the pressure is increased suddenly due to the fact that the flow rate is reduced only by monitoring a single variable, so that the upstream pumping pressure is erroneously increased, and the downstream feeding valve cannot be synchronously regulated, and the action mismatch directly causes the severe vibration and sealing leakage of a pipeline, so that the production is forced to be interrupted. Meanwhile, after the thickened material enters downstream desolventizing equipment, a stirrer with a fixed rotation speed cannot effectively cope with the problem that the material is locally overheated or degraded due to excessive high shearing, and the serious wall adhesion and heat transfer deterioration of the material are caused due to the excessive low rotation speed, so that the desolventizing efficiency is reduced and the solvent residue exceeds the standard. More prominently, the whole control loop has serious perception lag, the rheological property of the materials in the conveying pipeline cannot be obtained in real time depending on the offline data of the upstream end point or delay analysis, the control action is delayed from the actual change of the state of the materials, and a large number of unqualified intermediate products are generated in the critical adjustment window period after the disturbance occurs. The defects related to each other commonly generate a core technical problem of how to design a set of cooperative control system capable of sensing rheological properties of materials and system pr