Intelligent temperature control method in biochemical reaction process

Abstract

The invention discloses an intelligent temperature control method in a biochemical reaction process, and belongs to the technical field of mineral processing and industrial process control. According to the method, multi-source process parameters such as reaction temperature, medicament dosage, slurry concentration and stirring power are collected in real time, the change rate of each parameter is calculated, and a reaction heat change fingerprint reflecting the dynamic change of chemical reaction intensity is constructed; performing stage self-identification on the chemical reaction process based on the reaction heat change fingerprint, constructing a self-adaptive reaction temperature prediction model, and performing multi-time scale prediction on the reaction temperature; and on the premise of introducing the temperature change rate security constraint, generating and executing a temperature regulation control strategy, and meanwhile, carrying out online self-correction on model parameters. The method can effectively improve the perspectiveness, stability and safety of temperature control in the sand washing and mineral separation chemical reaction process, reduces manual intervention, and is suitable for various chemical reactions related to sand washing and mineral separation.

Description

Technical Field

[0001] This invention belongs to the field of chemical reaction control technology, specifically a method for intelligent temperature control in biochemical reaction processes. Background Technology

[0002] In the production of sand washing and mineral processing materials, chemical reaction operations are usually carried out in reaction tanks, conditioning tanks, or mixing devices. These include flocculant reactions for sand washing, flotation reagent reactions for mineral processing, slurry conditioning reactions, and mineral surface modification reactions. These chemical reaction processes generally involve reagent addition, slurry mixing, and heat release or absorption. The reaction state and temperature changes directly affect sand washing efficiency, mineral processing recovery rate, and equipment operating safety.

[0003] Since chemical reaction systems used in sand washing and mineral processing are typically high-solids slurry or mineral slurry systems, they have poor fluidity and complex heat transfer conditions. Temperature changes during the reaction process often exhibit hysteresis and nonlinear characteristics. Furthermore, variations in process parameters such as reagent dosage, slurry concentration, and stirring intensity can cause significant fluctuations in the exothermic or endothermic intensity of the reaction, making it difficult to stably control the reaction temperature.

[0004] In existing technologies, temperature control in sand washing and mineral processing chemical reactions often relies on manual experience or is based on proportional-integral-derivative (PID) automatic control. These control methods typically use the deviation between the setpoint and the actual reaction temperature as the basis for control, failing to adequately consider the impact of changes in chemical reaction intensity on temperature evolution. When the reaction intensity changes rapidly, existing control methods often suffer from response lag, temperature overshoot, or frequent adjustments.

[0005] Furthermore, while some existing technologies incorporate multi-parameter monitoring or model prediction methods, they largely rely on fixed-parameter models or pre-set control rules, making it difficult to adapt to the actual needs of fluctuating raw material properties and frequent changes in operating conditions during sand washing and mineral processing. In the high-intensity reaction stage, rapid temperature changes can easily affect the reagent reaction effect; conversely, in the stable reaction stage, excessive control may lead to energy waste or increased equipment load.

[0006] Furthermore, existing temperature control methods generally focus on controlling the absolute value of temperature, lacking effective constraints on the rate of temperature change. When the temperature rises or falls rapidly in a short period of time, it may lead to incomplete reagent reaction, decreased mineral sorting performance, and even adversely affect the safe operation of the reaction device and its auxiliary equipment.

[0007] In summary, existing temperature control technologies in sand washing and mineral processing chemical reactions still have shortcomings in terms of responding to dynamic changes in reaction intensity, adaptive adjustment capabilities, and safety. Summary of the Invention

[0008] To address the technical problems mentioned in the background section, this invention provides an intelligent temperature control method for biochemical reaction processes.

[0009] To achieve the above objectives, the present invention provides the following technical solution: A method for intelligent temperature control in a biochemical reaction process includes the following steps: Step 1: During the operation of the chemical reaction unit for sand washing or mineral processing, collect multi-source process parameters related to the exothermic behavior of the chemical reaction in real time; Step 2: Calculate the rate of change of the multi-source process parameters to construct a reaction heat change fingerprint that reflects the characteristics of the change in chemical reaction intensity; Step 3: Based on the reaction heat change fingerprint, perform reaction stage self-identification of the chemical reaction process to determine the current reaction stage; Step 4: Based on the reaction stage, construct an adaptive reaction temperature prediction model that matches the current reaction state, and use real-time process data to correct the model parameters online. Step 5: Based on the adaptive reaction temperature prediction model, predict the reaction temperature at at least two time scales and generate multiple candidate temperature change paths. Step 6: Evaluate the credibility of the candidate temperature change paths and select those that meet the credibility requirements. Step 7: Under the premise of introducing equipment safety constraints and reaction process constraints, generate a temperature regulation and control strategy based on the screened temperature change path; Step 8: Execute the temperature regulation and control strategy, and perform self-calibration on the reaction heat change fingerprint and prediction model based on the execution results.

[0010] Furthermore, the rate of change is calculated according to the following formula: in, These are process parameters in a chemical reaction process. This represents the sampling time interval.

[0011] Furthermore, the reaction thermal change fingerprint includes at least two of the following change rates: reaction temperature change rate; Rate of change in dosage of chemical additives; Rate of change of slurry concentration; Rate of change of stirring power; Rate of pressure change within the reaction vessel.

[0012] Furthermore, the reaction stage self-identification is achieved by analyzing the statistical characteristics of the reaction heat change fingerprint. The reaction stage includes at least one or more of the following: reaction initiation stage, reaction enhancement stage, reaction stabilization stage, and reaction decay stage. The adaptive reaction temperature prediction model includes a reaction exothermic term and a heat transfer term, and the reaction exothermic term is corrected online based on the deviation between the actual temperature change rate and the predicted temperature change rate.

[0013] Furthermore, the multiple time scales include at least a short-term prediction scale and a medium-term prediction scale, wherein the short-term prediction is used to suppress rapid temperature fluctuations, and the medium-term prediction is used to adjust the overall reaction temperature trajectory.

[0014] Furthermore, the equipment safety constraints include a reaction temperature change rate constraint, which satisfies: in, The rate of change of reaction temperature. This refers to the maximum permissible rate of temperature change determined based on the chemical reaction process of sand washing or mineral processing.

[0015] Furthermore, the reliability of the candidate temperature change path is evaluated based on the consistency between the predicted temperature change rate and the historical actual temperature change rate.

[0016] Furthermore, the temperature regulation and control strategy is achieved by adjusting the heating power of the reaction device, the flow rate of the cooling medium, or a combination of both.

[0017] Furthermore, when an abnormal reaction heat change fingerprint is detected or the prediction confidence is lower than a preset threshold, the control system automatically switches to a safe temperature control mode.

[0018] The beneficial effects of this invention are as follows: (1) This invention analyzes the rate of change of multiple process parameters such as reaction temperature, reagent dosage, slurry concentration, and stirring power to construct a reaction heat change fingerprint, thereby achieving a comprehensive characterization of the change in chemical reaction intensity. Compared with control methods based solely on temperature deviation, this invention can identify the trend of reaction intensity change in advance, thereby adjusting the temperature before it deviates significantly, thus greatly improving the foresight of temperature control.

[0019] (2) Based on the reaction heat change fingerprint, the present invention performs stage self-identification of the sand washing and mineral processing chemical reaction process, and adopts corresponding temperature prediction and control strategies according to different reaction stages, avoiding the problem that fixed control parameters in the prior art are difficult to adapt to changes in working conditions, and improving the system's adaptability under complex working conditions such as raw material fluctuations and changes in dosing.

[0020] (3) By introducing a multi-timescale temperature prediction mechanism, this invention suppresses rapid temperature fluctuations on a short timescale and smooths the overall temperature change trajectory on a medium timescale, effectively reducing temperature overshoot and frequent adjustment phenomena, and improving the overall stability of the sand washing and mineral processing chemical reaction process.

[0021] This invention introduces a temperature change rate constraint into the temperature control decision-making process, limiting the maximum temperature change per unit time and avoiding the adverse effects of rapid temperature rise or fall on the reaction effect, equipment structure and auxiliary pipelines, thereby improving the operational safety and reliability of sand washing and mineral processing chemical reaction equipment. Detailed Implementation

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0023] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described in detail below. Many specific details are set forth in the following description to provide a thorough understanding of the present invention. However, the present invention can be practiced in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0024] This invention is applicable to process steps involving chemical reactions in mineral processing production, such as sand washing and mineral beneficiation, including but not limited to sand washing reagent reactions, mineral beneficiation flotation reagent reactions, slurry conditioning reactions, and mineral surface modification reactions. These chemical reactions are typically carried out in reaction tanks, conditioning tanks, or mixing tanks, and their reaction systems are mostly high-solids slurry or mineral slurry systems, characterized by poor fluidity, complex heat transfer conditions, and significant fluctuations in reaction intensity. The exothermic or endothermic behavior accompanying the chemical reaction directly affects the reaction temperature change, and the fluctuation of the reaction temperature has a significant impact on the reagent reaction effect, mineral separation efficiency, and equipment operating safety. This embodiment uses a typical sand washing or mineral beneficiation chemical reaction device as the implementation object, and achieves intelligent and safe control of the reaction temperature by real-time acquisition and rate of change analysis of multi-source parameters in the reaction process.

[0025] The intelligent temperature control system of the present invention includes at least the following functional modules: 1. Data Acquisition Module Used for real-time acquisition of process parameters in sand washing or mineral processing chemical reaction equipment, including but not limited to reaction temperature, chemical additive dosage, slurry concentration, stirring power, and pressure inside the reaction tank.

[0026] 2. Reaction thermal change fingerprint construction module This is used to calculate the rate of change of the process parameters and to construct a reaction heat change fingerprint that reflects the characteristics of changes in the intensity of chemical reactions.

[0027] 3. Reaction Stage Identification Module It is used to identify the current reaction stage of a chemical reaction based on the fingerprint of changes in reaction heat.

[0028] 4. Adaptive Temperature Prediction Module It is used to build and revise reaction temperature prediction models online, and to predict reaction temperatures at different time scales.

[0029] 5. Credibility Assessment Module It is used to assess the credibility of multiple predicted temperature change paths and select reliable prediction results.

[0030] 6. Security Constraint Decision Module Used to generate temperature regulation and control strategies while meeting equipment safety and process constraints.

[0031] 7. Execution and Self-Calibration Module It is used to control the heating or cooling equipment of the reaction apparatus and to self-calibrate the system model based on the execution results.

[0032] The above modules can be deployed in industrial control systems, edge computing devices, or industrial computers.

[0033] The data acquisition module collects process parameters in the chemical reaction unit at a fixed sampling period Δt. The process parameters include at least: reaction temperature T(t), chemical additive dosage A(t), slurry concentration C(t), and stirring power P(t); these parameters can reflect the state of the chemical reaction from multiple dimensions such as thermal behavior, material changes, and energy input.

[0034] For any process parameter x(t), its rate of change is defined as: Where x(t) is the process parameter value at the current sampling time, and Δt is the sampling time interval.

[0035] In this embodiment, the rate of change of reaction temperature is defined as: In this embodiment, the rate of change of multiple key parameters is combined to form a reaction heat change fingerprint: Rreact(t)=[RT(t),RA(t),RC(t),RP(t)], which is used to comprehensively describe the dynamic change characteristics of reaction intensity during sand washing and mineral processing chemical reactions.

[0036] In the chemical reactions of sand washing and mineral processing, the characteristics of reaction intensity changes differ significantly at different reaction stages. This embodiment uses reaction heat change fingerprinting to perform stage self-identification of the reaction process.

[0037] In this embodiment, the chemical reaction process is divided into one or a combination of the following stages: reaction initiation stage, reaction enhancement stage, reaction stabilization stage, and reaction decay stage. A switch in the reaction stage is determined when the overall distribution characteristics or trend of the reaction thermal change fingerprint changes significantly. The results of this stage identification will serve as an important basis for subsequent temperature prediction and control strategy generation.

[0038] In this embodiment, the adaptive reaction temperature prediction model includes exothermic and heat transfer terms to describe the dynamic change process of the reaction temperature. This model can adjust its parameter structure according to different reaction stages to adapt to changes in reaction intensity. During actual operation, the deviation between the predicted and actual temperature change rates is used to correct the model parameters online, enabling the model to continuously adapt to changes in raw material properties and operating conditions during sand washing and mineral processing. The adaptive temperature prediction module predicts the reaction temperature at both short-term and medium-term prediction scales: short-term prediction is used to suppress rapid temperature fluctuations, and medium-term prediction is used to smooth the overall temperature change trajectory. For the multiple generated temperature prediction paths, the system evaluates the reliability of the prediction results based on the consistency between the predicted temperature change rate and the historical actual temperature change rate. Prediction paths with lower reliability are not included in subsequent temperature control decisions, thereby improving the robustness of the control system.

[0039] In this embodiment, a safety constraint on the rate of temperature change is introduced: in, This refers to the maximum permissible rate of temperature change determined based on the chemical reaction process of sand washing or mineral processing.

[0040] Under the premise of satisfying the above safety constraints, a temperature regulation control strategy is generated based on a reliable temperature prediction path. The control strategy is implemented by adjusting the heating power of the reaction device, the flow rate of the cooling medium, or a combination of both. In this embodiment, after the control strategy is issued to the actuator, the system continuously monitors the actual temperature response and performs self-correction on the fingerprint weights of the reaction heat change and the prediction model parameters based on the deviation between the actual response and the prediction results. This self-correction mechanism enables the system to maintain stability and high adaptability during long-term operation.

[0041] Finally, it should be noted that the mathematical formulas, derivations, symbol definitions, and parameter calculation methods used in this specification are all for the purpose of further clarifying and verifying the technical content of this invention, so that those skilled in the art can more intuitively and accurately understand the working mechanism and technical effects of this invention. These formulas are only used as quantitative expressions or illustrative examples of technical features and do not constitute limiting conditions of the claims of this invention. Those skilled in the art should understand that, without changing the core idea of ​​this invention, the parameter forms, calculation methods, numerical ranges, and even symbol representations involved in the formulas can be equivalently replaced or simplified in engineering according to the actual application environment. The specifics can be determined according to the actual situation, and no limitation is imposed. It should also be emphasized that the formulas in this specification are not theoretical derivations in the style of academic research papers, but rather an engineering description of the embodiments of this invention. Their purpose is to enhance the understandability and implementability of this invention, rather than to increase redundancy and complexity. Those skilled in the art can choose whether to use such quantitative tools when reading this specification, or can achieve the same technical effects through other equivalent methods.

[0042] Furthermore, while specific embodiments of the present invention have been described above, those skilled in the art should understand that these specific embodiments are merely illustrative. Those skilled in the art can omit, substitute, and modify the details of the above methods and systems in various ways without departing from the principles and essence of the present invention. For example, combining the above method steps to perform substantially the same function and achieve substantially the same result according to substantially the same method falls within the scope of the present invention. Therefore, the scope of the present invention is defined only by the appended claims.

Claims

1. A method for intelligent temperature control in a biochemical reaction process, characterized in that, Includes the following steps: Step 1: During the operation of the chemical reaction unit for sand washing or mineral processing, collect multi-source process parameters related to the exothermic behavior of the chemical reaction in real time; Step 2: Calculate the rate of change of the multi-source process parameters to construct a reaction heat change fingerprint that reflects the characteristics of the change in chemical reaction intensity; Step 3: Based on the reaction heat change fingerprint, perform reaction stage self-identification of the chemical reaction process to determine the current reaction stage; Step 4: Based on the reaction stage, construct an adaptive reaction temperature prediction model that matches the current reaction state, and use real-time process data to correct the model parameters online. Step 5: Based on the adaptive reaction temperature prediction model, predict the reaction temperature at at least two time scales and generate multiple candidate temperature change paths. Step 6: Evaluate the credibility of the candidate temperature change paths and select those that meet the credibility requirements. Step 7: Under the premise of introducing equipment safety constraints and reaction process constraints, generate a temperature regulation and control strategy based on the screened temperature change path; Step 8: Execute the temperature regulation and control strategy, and perform self-calibration on the reaction heat change fingerprint and prediction model based on the execution results.

2. The intelligent temperature control method for a biochemical reaction process according to claim 1, characterized in that: The rate of change is calculated according to the following formula: in, These are process parameters in a chemical reaction process. This represents the sampling time interval.

3. The intelligent temperature control method for a biochemical reaction process according to claim 1, characterized in that: The reaction thermal change fingerprint includes at least two of the following change rates: reaction temperature change rate; Rate of change in dosage of chemical additives; Rate of change of slurry concentration; Rate of change of stirring power; Rate of pressure change within the reaction vessel.

4. The intelligent temperature control method for a biochemical reaction process according to claim 1, characterized in that: The reaction stage self-identification is achieved by analyzing the statistical characteristics of the reaction heat change fingerprint. The reaction stage includes at least one or more of the following: reaction initiation stage, reaction enhancement stage, reaction stabilization stage, and reaction decay stage. The adaptive reaction temperature prediction model includes a reaction exothermic term and a heat transfer term, and the reaction exothermic term is corrected online based on the deviation between the actual temperature change rate and the predicted temperature change rate.

5. The intelligent temperature control method for a biochemical reaction process according to claim 1, characterized in that: The multiple time scales include at least short-term forecasting scales and medium-term forecasting scales, where short-term forecasting is used to suppress rapid temperature fluctuations and medium-term forecasting is used to adjust the overall reaction temperature trajectory.

6. The intelligent temperature control method for a biochemical reaction process according to claim 1, characterized in that: The equipment safety constraints include a reaction temperature change rate constraint, which satisfies: in, The rate of change of reaction temperature. This refers to the maximum permissible rate of temperature change determined based on the chemical reaction process of sand washing or mineral processing.

7. The intelligent temperature control method for a biochemical reaction process according to claim 1, characterized in that: The reliability of the candidate temperature change path is evaluated based on the consistency between the predicted temperature change rate and the historical actual temperature change rate.

8. The intelligent temperature control method for a biochemical reaction process according to claim 1, characterized in that: The temperature regulation and control strategy is achieved by adjusting the heating power of the reaction device, the flow rate of the cooling medium, or a combination of both.

9. The intelligent temperature control method for a biochemical reaction process according to claim 1, characterized in that: When an abnormal reaction heat change fingerprint is detected or the prediction confidence is lower than a preset threshold, the control system automatically switches to the safe temperature control mode.

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