Pressure compensation control system and control method

Abstract

The invention discloses a pressure compensation control system and method, and belongs to the technical field of evaporators, and the method comprises the steps that an industrial personal computer receives a first signal collected by collection equipment and processes the first signal; a multi-stage feedback control mechanism is established, and at least two feedback signals are generated according to the real-time pressure state of the evaporator; the industrial personal computer receives the generated feedback signal and establishes a multi-level regulation and control strategy according to the priority of the feedback signal; the whole adjusting process is monitored, a fine adjustment signal is generated, and meanwhile early warning is sent out. In the implementation process of the technical scheme, a pressure compensation system of a multi-stage feedback control mechanism is adopted, a response can be quickly made when the pressure of the evaporator fluctuates, it is ensured that the pressure in the evaporator is stable through accurate regulation and control, and then the crystallization process is optimized. In addition, an intelligent early warning mechanism can monitor the operation environment in real time, the pressure abnormal risk caused by human or environmental factors is reduced, and the overall crystallization operation efficiency and the product quality are improved.

Description

Technical Field

[0001] The present application relates to the technical field of evaporator control, and in particular to a pressure compensation control system and a control method. Background Art

[0002] The evaporator is one of the key components in the refrigeration system. The refrigerant evaporates in the evaporator and absorbs heat during the evaporation process to achieve the cooling effect. It is widely used in refrigeration systems.

[0003] Crystallization equipment is an industrial equipment used to convert substances from liquid or gaseous states into solid (crystalline) forms. In many industries such as chemical, pharmaceutical, and metallurgical industries, crystallization is an important process for separation and purification, concentration of solutions, manufacture of solid products (such as crystalline salts, sugars, drugs, etc.), and control of product quality. In crystallization equipment, the evaporator is an indispensable part. The solvent is evaporated by the evaporator to make the solute reach a supersaturated state and promote the formation of crystals. In the evaporator, the evaporation rate is usually related to the pressure in the evaporator. When the pressure in the evaporator changes, it will affect the boiling point of the solvent therein, thereby changing the evaporation rate. Therefore, in the prior art, it is usually necessary to use a pressure compensation device to adjust the pressure in the evaporator to stabilize the crystallization process.

[0004] However, in the existing pressure compensation process, there are often problems such as slow response speed and insufficient control accuracy, which lead to unsatisfactory pressure compensation effect and affect the crystallization quality and efficiency. For example, when operational failures, environmental changes, etc. occur, the existing pressure compensation equipment will not be able to respond quickly and stabilize the system, resulting in a certain lag time and unable to quickly handle large pressure changes, causing the system pressure to deviate from the expected range and affecting the stability of the crystallization process.

[0005] Therefore, it is necessary to provide a pressure compensation control system and control method to solve the above problems.

[0006] It should be noted that the above information disclosed in this background technology section is only for understanding the background technology of the present application concept, and therefore, it may contain information that does not constitute the prior art. Summary of the invention

[0007] Based on the above problems existing in the prior art, the problem to be solved by the present application is: to provide a pressure compensation control system and a control method, by establishing a multi-level feedback control mechanism, to achieve multi-level regulation in the evaporator pressure compensation process and improve operation stability.

[0008] The technical solution adopted by the present application to solve the technical problem is: a pressure compensation control method, comprising: The industrial computer receives the first signal collected by the collection device, processes the first signal, and determines the real-time pressure state of the evaporator, wherein the first signal is an operating parameter in the evaporator, and the operating parameter includes pressure, temperature, flow rate and liquid level height; Establishing a multi-level feedback control mechanism and generating at least two feedback signals according to the real-time pressure state of the evaporator, wherein the feedback signals indicate the effects of different operating parameters on the internal pressure of the evaporator; The industrial computer receives the generated feedback signal and establishes a multi-level control strategy according to the priority of the feedback signal, wherein the multi-level control strategy includes a PID control algorithm, a neural network control algorithm and a prediction model control algorithm; The entire adjustment process is monitored to determine whether overcompensation and compensation lag occur, and a fine-tuning signal is generated and sent to the pressure compensation system of the third-level control strategy, while issuing an early warning.

[0009] In the process of implementing the technical solution of this application, the pressure compensation system using the multi-level feedback control mechanism can respond quickly when the evaporator pressure fluctuates, ensure the stability of the pressure in the evaporator through precise regulation, and thus optimize the crystallization process. In addition, the intelligent early warning mechanism introduced by the system can monitor the operating environment in real time, reduce the risk of abnormal pressure caused by human or environmental factors, and improve the efficiency of the overall crystallization operation and product quality.

[0010] Furthermore, processing the first signal further includes: Performing a time stamp on the first signal to convert the first signal into a continuous signal with a time series; Perform noise filtering on the continuous signal, and transform the processed continuous signal into a signal change curve through data fitting method; Analyze the signal change curve and extract characteristic parameters from the signal change curve, the characteristic parameters including change trend, cycle, and amplitude fluctuation; The extracted characteristic parameters are comprehensively analyzed and a health status report of the evaporator is generated.

[0011] Furthermore, the number of the feedback signals represents the number of levels of the multi-level feedback control mechanism, and the feedback signal is an analog signal, and the priority of the multi-level feedback mechanism is determined by the amplitude fluctuation of the feedback signal.

[0012] Furthermore, the amplitude fluctuation of the feedback signal is obtained by using a mean square error method to obtain the amplitude value of the feedback signal corresponding to each time point, and then the mean square error is calculated for these amplitude values.

[0013] Furthermore, a pressure compensation system is provided in the evaporator. The pressure compensation system is a multi-stage adaptive valve. Under different priorities, the corresponding valve materials are different.

[0014] Furthermore, the multi-stage adaptive valve includes a shape memory alloy valve, a titanium alloy valve and an intelligent material valve.

[0015] Furthermore, the fine-tuning signal is an input signal of the third-level control strategy. When overcompensation occurs, the fine-tuning signal is a negative feedback signal. When regulation lag occurs, the fine-tuning signal is a positive feedback signal.

[0016] Furthermore, when the fine-tuning signal is generated, an early warning signal is generated synchronously and sent to the control center.

[0017] A pressure compensation control system, the control system comprising: A pressure state determination module is used for the industrial computer to receive the first signal collected by the collection device, and process the first signal to determine the real-time pressure state of the evaporator, wherein the first signal is an operating parameter in the evaporator, and the operating parameter includes pressure, temperature, flow rate and liquid level height; A multi-level feedback mechanism establishment module is used to establish a multi-level feedback control mechanism and generate at least two feedback signals according to the real-time pressure state of the evaporator, wherein the feedback signals represent the influence of different operating parameters on the internal pressure of the evaporator; A multi-level control strategy selection module is used for the industrial computer to receive the generated feedback signal and establish a multi-level control strategy according to the priority of the feedback signal, wherein the multi-level control strategy includes a PID control algorithm, a neural network control algorithm and a prediction model control algorithm; The fine-tuning warning module is used to monitor the entire adjustment process, determine whether over-compensation and compensation lag occur, generate a fine-tuning signal, send the fine-tuning signal to the pressure compensation system of the third-level control strategy, and issue a warning at the same time.

[0018] The beneficial effects of the present application are as follows: the present application provides a pressure compensation control system and control method, which uses the pressure compensation system with the multi-level feedback control mechanism, and can respond quickly when the evaporator pressure fluctuates, and ensure the stability of the pressure in the evaporator through precise regulation, thereby optimizing the crystallization process. In addition, the intelligent early warning mechanism introduced by the system can monitor the operating environment in real time, reduce the risk of abnormal pressure caused by human or environmental factors, and improve the efficiency of the overall crystallization operation and product quality.

[0019] In addition to the above-described purposes, features and advantages, the present application also has other purposes, features and advantages. The present application will be further described in detail with reference to the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings constituting part of the present application are used to provide a further understanding of the present application. The exemplary embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings: Figure 1 It is a schematic diagram of the overall process of a pressure compensation control method in this application; Figure 2 This is a schematic diagram of the module structure of a pressure compensation control system in the application. DETAILED DESCRIPTION

[0021] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0023] Embodiment 1: Figure 1 As shown, the present application provides a pressure compensation control method, which is applied to a crystallization device, specifically monitoring the pressure of the evaporator and performing pressure compensation according to the monitoring result, thereby achieving precise control of the system pressure and improving the quality and efficiency of the crystallization process. The control method includes the following steps: Step 101: The industrial computer receives a first signal collected by a collection device, processes the first signal, and determines the real-time pressure state of the evaporator, wherein the first signal is an operating parameter in the evaporator, and the operating parameter includes pressure, temperature, flow rate, and liquid level; In order to perform pressure compensation on the evaporator, it is first necessary to determine the real-time pressure state of the evaporator and judge whether it is in a normal working range. In this embodiment, the industrial computer serves as a data processing center, receives the first signal collected by the acquisition device, and processes it, wherein the first signal is the operating parameter of the evaporator, such as the pressure data, temperature data, flow data and liquid level height inside the evaporator. The acquisition device includes but is not limited to various sensors, such as pressure sensors, temperature sensors, etc., which are not described in detail in this embodiment; The processing of the first signal further comprises the following steps: Step 101a: performing a timestamp on the first signal, and converting the first signal into a continuous signal with a time series; In order to ensure the real-time performance of the internal pressure compensation of the evaporator, the collected first signal needs to be serialized, specifically, the first signal is time-stamped so that each operating parameter has a unique corresponding time stamp, so that it can be quickly located during the analysis process, and each discrete operating parameter is converted into a continuous signal with a time series; Step 101b: performing noise filtering processing on the continuous signal, and converting the processed continuous signal into a signal change curve through a data fitting method; In the process of the acquisition device acquiring the first signal, some noise will be collected due to the influence of the external environment and the acquisition device itself. These noises will not only affect the accuracy of the analysis results during the analysis process, but also reduce the processing efficiency of the industrial computer for the first signal. Therefore, filtering processing is required. In this embodiment, the noise filtering processing for the continuous signal can refer to the existing technology, such as using wavelet transform and other methods to improve the signal-to-noise ratio of the signal and reduce the influence of noise on the actual data. In order to facilitate subsequent processing, the processed continuous signal needs to be converted into a signal change curve, and in the process of conversion, a curve needs to be fitted separately according to the data type, and the signal amplitude value at each time node is displayed in the signal change curve. A set of signals can be converted into a signal curve by referring to the existing technology, such as using a software method, using curve fitting software, inputting the first signal into the curve fitting software, thereby generating a signal change curve, which is not described in detail in this embodiment; Step 101c: Analyze the signal change curve and extract characteristic parameters from the signal change curve, where the characteristic parameters include change trend, cycle, and amplitude fluctuation; After the signal change curve is generated, it can be analyzed and characteristic parameters can be extracted. The characteristic parameters refer to key information that can reflect the operating status of the evaporator. For example, the change trend can show the performance change of the evaporator over a period of time, the periodic change can help determine whether the equipment has entered a stable working state, and the amplitude fluctuation can be used to evaluate the working stability of the evaporator. These characteristic parameters provide an important basis for subsequent fault diagnosis and performance optimization.

[0024] Step 101d: Perform a comprehensive analysis on the extracted characteristic parameters and generate a health status report of the evaporator.

[0025] After extracting the characteristic parameters, a health status report of the evaporator can be generated according to the characteristic parameters. The report will evaluate the performance of the evaporator in real time based on the analysis results of the characteristic parameters, so that operators can adjust and optimize the system operation strategy in time to ensure efficient and stable operation of the evaporator. At the same time, the report will also be stored as historical data to provide data support for future fault prediction and preventive maintenance. The health status report will also include early warnings of potential faults that may exist in the evaporator, and predict the possibility of faults by comparing and analyzing historical data with current characteristic parameters.

[0026] The method for comprehensive analysis of the extracted characteristic parameters adopts an artificial intelligence algorithm, combines historical data and real-time monitoring data, and performs deep learning analysis on the characteristic parameters to obtain more accurate health assessment results. For details, please refer to the existing technology and will not be described in detail in this embodiment.

[0027] Step 102: establishing a multi-level feedback control mechanism, and generating at least two feedback signals according to the real-time pressure state of the evaporator, wherein the feedback signals represent the influence of different operating parameters on the internal pressure of the evaporator; During the operation of the evaporator, its operating parameters will change with various factors, thereby forming different working conditions. When performing pressure compensation, corresponding pressure compensation strategies should be selected for different working conditions. Therefore, in this embodiment, a multi-level feedback control mechanism is established. The multi-level feedback control mechanism can generate multiple feedback signals according to the actual pressure state of the evaporator. The feedback signals represent the effects of different operating parameters on the internal pressure of the evaporator, thereby realizing the regulation of the internal pressure of the evaporator. The number of feedback signals represents the number of levels of the multi-level feedback control mechanism, and the feedback signal is an analog signal, which is a continuously changing signal, so it has an amplitude. According to the amplitude fluctuation of the feedback signal, the priority of the multi-level feedback mechanism can be determined. For example, when the real-time pressure state of the evaporator generates the first feedback signal, the second feedback signal and the third feedback signal, these feedback signals are graded according to the amplitude fluctuation, wherein the feedback signal with the largest amplitude fluctuation is the first level, and the feedback signal with the smallest amplitude fluctuation is the third level. The amplitude fluctuation of the feedback signal is obtained by the mean square error method, that is, the amplitude value of the feedback signal corresponding to each time point is obtained, and then the mean square error of these amplitude values ​​is calculated, so as to obtain the pressure fluctuation of the evaporator; For example, the mean amplitude value of a feedback signal at different time points is h. The mean square error of all amplitude values ​​is calculated based on the mean h. A smaller mean square error means smaller pressure fluctuations in the evaporator, and the corresponding control strategy will be more stable. A larger mean square error means larger pressure fluctuations in the evaporator. Thus, the pressure changes inside the evaporator are graded, which is convenient for subsequent graded control. Step 103: The industrial computer receives the generated feedback signal and establishes a multi-level control strategy according to the priority of the feedback signal, wherein the multi-level control strategy includes a PID control algorithm, a neural network control algorithm, and a prediction model control algorithm; After generating feedback signals and establishing priorities, different multi-level control strategies need to be established according to the priorities of feedback signals, because under different pressure fluctuations, choosing the appropriate control strategy can improve the pressure compensation efficiency, reduce the risk of control lag, and achieve graded response to different pressures; Among them, the multi-level control strategy includes but is not limited to PID control algorithm, neural network control algorithm and prediction model control algorithm. The PID control algorithm is a classic automatic control algorithm, which is suitable for scenarios with large-scale pressure fluctuations. Although there will be a certain hysteresis, this hysteresis can be ignored due to the large pressure fluctuations. The neural network control algorithm can perform self-learning and optimization and adapt to some scenarios with smaller pressure fluctuations. The prediction model control algorithm combines historical data with real-time information to predict future pressure changes of the evaporator and adjust the control parameters in advance, thereby achieving more accurate pressure compensation in scenarios with smaller pressure fluctuations. The above-mentioned various control algorithms can refer to the existing technology and are not described in detail in this embodiment. It should be noted that, in order to cooperate with the multi-level control strategy, a pressure compensation system is provided in the evaporator. The pressure compensation system is a multi-level adaptive valve, and the corresponding valve materials are different at different priorities. In the first-level regulation, that is, the control strategy corresponding to the PID control algorithm, a shape memory alloy valve is used. This shape memory alloy valve can switch forms according to pressure changes, thereby adjusting the fluid flow. Because of its slow response speed, it can be used in combination with the PID control algorithm; in the second-level regulation, that is, the control strategy corresponding to the neural network control algorithm, a titanium alloy valve with fast response characteristics is used. This valve can quickly adjust to adapt to subtle changes in pressure, ensuring that the system can maintain efficient and stable operation even when the pressure fluctuation is small. In the third-level regulation, that is, the application scenario of the predictive model control algorithm, a more advanced intelligent material valve is used, such as a piezoelectric material drive system. The piezoelectric material drive system can respond to rapidly changing pressure fluctuations at a subtle level, and is combined with the predictive model control algorithm to provide accurate pressure compensation control for the evaporator. Other valve body materials are not limited in this embodiment; Step 104: Monitor the entire adjustment process, determine whether overcompensation and compensation lag occur, generate a fine-tuning signal, send the fine-tuning signal to the pressure compensation system of the third-level control strategy, and issue an early warning.

[0028] After completing the multi-level regulation, it is also necessary to continuously monitor the entire regulation process to prevent over-compensation or regulation lag, and generate a fine-tuning signal at the same time. The fine-tuning signal is the input signal of the third-level regulation strategy. When over-compensation occurs, the fine-tuning signal is a negative feedback signal. When regulation lag occurs, the fine-tuning signal is a positive feedback signal. In this way, the real-time and accuracy of the pressure compensation system are ensured. When the fine-tuning signal is generated, an early warning signal is generated simultaneously and sent to the control center so that the operator can promptly identify the cause and facilitate source tracing, thereby ensuring the operational stability of the entire pressure compensation process.

[0029] Embodiment 2: Figure 2 As shown, the present application also proposes a pressure compensation control system, which is used to run the pressure compensation method in embodiment 1, and the control system includes: A pressure state determination module is used for the industrial computer to receive the first signal collected by the collection device, and process the first signal to determine the real-time pressure state of the evaporator, wherein the first signal is an operating parameter in the evaporator, and the operating parameter includes pressure, temperature, flow rate and liquid level height; A multi-level feedback mechanism establishment module is used to establish a multi-level feedback control mechanism and generate at least two feedback signals according to the real-time pressure state of the evaporator, wherein the feedback signals represent the influence of different operating parameters on the internal pressure of the evaporator; A multi-level control strategy selection module is used for the industrial computer to receive the generated feedback signal and establish a multi-level control strategy according to the priority of the feedback signal, wherein the multi-level control strategy includes a PID control algorithm, a neural network control algorithm and a prediction model control algorithm; The fine-tuning warning module is used to monitor the entire adjustment process, determine whether over-compensation and compensation lag occur, generate a fine-tuning signal, send the fine-tuning signal to the pressure compensation system of the third-level control strategy, and issue a warning at the same time.

[0030] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A pressure compensation control method, characterized in that: include: The industrial computer receives the first signal collected by the collection device, processes the first signal, and determines the real-time pressure state of the evaporator, wherein the first signal is an operating parameter in the evaporator, and the operating parameter includes pressure, temperature, flow rate and liquid level height; Establishing a multi-level feedback control mechanism and generating at least two feedback signals according to the real-time pressure state of the evaporator, the feedback signals indicating the effects of different operating parameters on the internal pressure of the evaporator; The industrial computer receives the generated feedback signal and establishes a multi-level control strategy according to the priority of the feedback signal, wherein the multi-level control strategy includes a PID control algorithm, a neural network control algorithm and a prediction model control algorithm; The entire adjustment process is monitored to determine whether overcompensation and compensation lag occur, and a fine-tuning signal is generated and sent to the pressure compensation system of the third-level control strategy, while issuing an early warning.

2. A pressure compensation control method according to claim 1, characterized in that: Processing the first signal further includes: Performing a time stamp on the first signal to convert the first signal into a continuous signal with a time series; Perform noise filtering on the continuous signal, and transform the processed continuous signal into a signal change curve through data fitting method; Analyze the signal change curve and extract characteristic parameters from the signal change curve, the characteristic parameters including change trend, cycle, and amplitude fluctuation; The extracted characteristic parameters are comprehensively analyzed and a health status report of the evaporator is generated.

3. A pressure compensation control method according to claim 1, characterized in that: The number of the feedback signals represents the number of levels of the multi-level feedback control mechanism, and the feedback signal is an analog signal. The priority of the multi-level feedback mechanism is determined by the amplitude fluctuation of the feedback signal.

4. A pressure compensation control method according to claim 3, characterized in that: The amplitude fluctuation of the feedback signal is obtained by using the mean square error method to obtain the amplitude value of the feedback signal corresponding to each time point, and then the mean square error of these amplitude values ​​is calculated.

5. A pressure compensation control method according to claim 1, characterized in that: The evaporator is provided with a pressure compensation system, which is a multi-stage adaptive valve. Under different priorities, the corresponding valve materials are different.

6. A pressure compensation control method according to claim 5, characterized in that: The multi-stage adaptive valve includes a shape memory alloy valve, a titanium alloy valve and an intelligent material valve.

7. A pressure compensation control method according to claim 1, characterized in that: The fine-tuning signal is an input signal of the third-level control strategy. When overcompensation occurs, the fine-tuning signal is a negative feedback signal. When regulation lag occurs, the fine-tuning signal is a positive feedback signal.

8. A pressure compensation control method according to claim 1, characterized in that: When the fine-tuning signal is generated, an early warning signal is generated synchronously and sent to the control center.

9. A pressure compensation control system, characterized in that: The control system includes: A pressure state determination module is used for the industrial computer to receive the first signal collected by the collection device, and process the first signal to determine the real-time pressure state of the evaporator, wherein the first signal is an operating parameter in the evaporator, and the operating parameter includes pressure, temperature, flow rate and liquid level height; A multi-level feedback mechanism establishment module, used to establish a multi-level feedback control mechanism and generate at least two feedback signals according to the real-time pressure state of the evaporator, wherein the feedback signals represent the influence of different operating parameters on the internal pressure of the evaporator; A multi-level control strategy selection module is used for the industrial computer to receive the generated feedback signal and establish a multi-level control strategy according to the priority of the feedback signal, wherein the multi-level control strategy includes a PID control algorithm, a neural network control algorithm and a prediction model control algorithm; The fine-tuning warning module is used to monitor the entire adjustment process, determine whether over-compensation and compensation lag occur, generate a fine-tuning signal, send the fine-tuning signal to the pressure compensation system of the third-level control strategy, and issue a warning at the same time.

10. A pressure compensation control system according to claim 9, characterized in that: Used to implement the pressure compensation control method as described in any one of claims 1 to 8.

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