Intelligent adjusting control system for comprehensive recycling of coal chemical phenolic wastewater

Abstract

The invention discloses an intelligent regulation control system for comprehensive recycling of coal chemical phenolic wastewater, which comprises a bubble behavior acquisition module, a cooling water flow regulation analysis module and a cooling water flow regulation control module. The bubble behavior acquisition module is used for acquiring the behavior of bubbles in the extraction process in the extraction process of comprehensive recycling and reusing of the coal chemical phenolic wastewater, and the cooling water flow regulation analysis module is used for predicting the liquid temperature change in the extraction process according to the acquired bubble behavior and analyzing the required cooling water flow; the cooling water flow adjustment control module is used for adjusting the cooling water flow in advance according to the predicted temperature change, the bubble behavior collection module, the cooling water flow adjustment analysis module and the cooling water flow adjustment control module are in communication connection, and the system has the advantages of being accurate and stable.

Description

Technical Field

[0001] The invention relates to the technical field of wastewater treatment, in particular to an intelligent regulating and controlling system for comprehensive recovery and reuse of phenol-containing wastewater from coal chemical industry. Background Art

[0002] In the coal chemical industry, the treatment of phenol-containing wastewater has always been a key issue in the field of environmental protection and resource recovery. This type of wastewater contains high concentrations of phenolic substances. If it is directly discharged without effective treatment, it will cause serious pollution to the environment. At the same time, phenolic substances in wastewater are also valuable chemical raw materials with high recycling value.

[0003] Traditional methods for treating phenolic wastewater in coal chemical industry mainly rely on physical, chemical or biological methods, but these methods often have problems such as low treatment efficiency, high energy consumption and unsatisfactory recovery effect. Especially in the extraction process, due to the mixed reaction of the extractant and the target component, a large amount of heat will be generated, causing the liquid temperature to rise. If the temperature is not properly controlled, it will not only affect the extraction efficiency, but may also cause damage to the equipment and even cause safety accidents. The existing temperature monitoring and control methods rely on direct measurement, and there are problems of hysteresis and insufficient control accuracy. At the same time, the rapid change of cooling water flow may cause large fluctuations in pressure and temperature in the extraction equipment, affecting the treatment efficiency and equipment stability. Therefore, it is very necessary to design an accurate and stable intelligent regulation and control system for the comprehensive recovery and reuse of phenolic wastewater in coal chemical industry. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent regulation and control system for comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry, so as to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent regulation and control system for comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry, comprising a bubble behavior collection module, a cooling water flow regulation and analysis module and a cooling water flow regulation and control module. The bubble behavior collection module is used to collect the behavior of bubbles in the extraction process during the comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry. The cooling water flow regulation and analysis module is used to predict the liquid temperature change in the extraction process according to the collected bubble behavior, and analyze the required cooling water flow. The cooling water flow regulation and control module is used to adjust the cooling water flow in advance according to the predicted temperature change. The bubble behavior collection module, the cooling water flow regulation and analysis module and the cooling water flow regulation and control module are communicatively connected.

[0006] According to the above technical solution, the bubble behavior acquisition module includes a high-definition camera module, a feature recognition module, a contour fitting module, a continuous tracking module, a timing module and a counting module. The high-definition camera module is used to acquire images of bubbles during the extraction process in real time. The feature recognition module and the contour fitting module are both electrically connected to the high-definition camera module. The feature recognition module is used to perform feature recognition on the collected bubble images. The contour fitting module is used to perform contour fitting on the collected bubble images. The continuous tracking module is used to continuously track the identified bubble features and contours to generate a bubble behavior trajectory. The timing module is used to record the extraction process time. The counting module is used to record the number of bubble features in the picture.

[0007] According to the above technical scheme, the cooling water flow regulation and analysis module includes a data processing module, a temperature change prediction module and an extraction history database module. The data processing module is used to process the data collected by the bubble behavior collection module to determine the key stage of extraction. The temperature change prediction module is used to predict the liquid temperature based on the bubble behavior data analysis. The extraction history database module is used to obtain the necessary parameters for prediction and analysis based on the historical big data in the extraction process of comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry, so as to determine the cooling water flow of the regulation target.

[0008] According to the above technical solution, the cooling water flow regulation control module includes a common flow regulation module and a smooth flow regulation module. The common flow regulation module is suitable for triggering flow adjustment when the temperature prediction value exceeds the target temperature range, and the smooth flow regulation module is suitable for triggering the use of a smooth adjustment cooling water flow strategy when the temperature prediction value exceeds the target temperature range and reaches the standard for judging that a sharp change in cooling water flow may occur;

[0009] The smooth flow regulation module further includes a temperature sensing submodule and a judgment submodule. The temperature sensing submodule is used to sense the real-time temperature during the extraction process, and the judgment submodule is used to compare the sensed real-time temperature with the predicted temperature to determine whether there is a standard for regulating the cooling water flow rate with a sharp change.

[0010] According to the above technical solution, the operation method of the intelligent adjustment and control system includes the following steps:

[0011] S1. When the comprehensive recovery and reuse process of phenol-containing wastewater from coal chemical industry enters the extraction stage, the high-definition camera module is activated to collect high-definition images of the liquid in the extraction process, and the bubble behavior collection module identifies the bubble behavior in the liquid based on the high-definition images;

[0012] S2, inputting the bubble behavior identified by the bubble behavior acquisition module during the extraction process into the data processing module, processing the collected and identified data, and thereby determining the key stage of the extraction;

[0013] S3, based on the identification of the bubble behavior during the extraction process and the judgment result of the extraction stage, the temperature change prediction module calculates the extraction temperature W;

[0014] S4. Establish an extraction history database, store the historical big data in the extraction process of comprehensive recovery and reuse of phenol-containing wastewater in the extraction history database, match the optimal cooling water flow J corresponding to the extraction temperature W in the extraction history database, and transmit the electrical signal to the cooling water flow regulation control module.

[0015] S5. When the cooling water flow adjustment instruction is triggered, the cooling water flow adjustment control module controls to adjust the cooling water flow in advance, and when it is determined that a sharp change in the cooling water flow is about to occur, the smoothing flow adjustment module is started to implement a strategy for smoothly adjusting the cooling water flow.

[0016] According to the above technical solution, in step S1, the specific operation method of the bubble behavior acquisition module includes the following steps:

[0017] S1-1, using a high-definition camera module to collect images of bubbles in the extraction process in real time, and a feature recognition module to perform feature recognition on the bubble images to identify bubble features in the images;

[0018] S1-2, the contour fitting module further performs feature contour fitting on the features identified as bubbles, fits the bubble contour line, and outputs the diameter d of each bubble in combination with the collected image ratio. i , where i = 1, 2, ..., n;

[0019] S1-3, the continuous tracking module performs corresponding matching and tracking on the bubble features in the continuously collected and recognized images, thereby associating the continuously collected bubble images and generating the behavior trajectory of the bubble;

[0020] S1-4: The timing module is used to time the generated bubble behavior trajectory. When a bubble behavior trajectory is completely tracked, the timing module is used to time the generated bubble behavior trajectory according to the length of the complete trajectory l. i The timing module records the time t that the bubble completes the complete trajectory i , calculate the bubble rising speed Where i = 1, 2, ..., n;

[0021] S1-5: When the bubble features in the image are identified, the counting module counts the number n of bubbles identified in the image;

[0022] S1-6: By formula and Calculate the average rising speed of the bubbles identified at the current moment and the average diameter of the bubbles

[0023] According to the above technical solution, in step S2, the specific operation method of the data processing module includes the following steps:

[0024] S2-1, with the extraction process timing time as the horizontal axis, the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles The different dimension parameters on the vertical axis are averaged to establish a plane coordinate line graph;

[0025] S2-2, when the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles When both increase with time, the time period is marked and judged as the mixing reaction stage of the extractant and the target component in the extraction process, and the temperature prediction coefficient k1 is output;

[0026] S2-3, when the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles When there is a mixture of rising and falling over time, mark this time period and judge it as the stage in which the extractant and the target component are fully in contact during the extraction process, and output the temperature prediction coefficient k2;

[0027] S2-4, when the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles When both decrease with time, the time period is marked and judged as the stage where the reaction between the extractant and the target component weakens during the extraction process, and the temperature prediction coefficient k3 is output.

[0028] According to the above technical solution, in step S3, the temperature change prediction module calculates the extraction temperature W as follows:

[0029]

[0030] According to the key stage of the extractant and the target component in the extraction process output by the current data processing module, k takes the value k1, k2 or k3; where α, β, and γ are the number of bubbles n, the average diameter of the bubbles, and and the average rising velocity of the bubbles Control parameters; t z The basic forecast cycle time preset for the system.

[0031] According to the above technical solution, in step S5, the specific operation method of the cooling water flow regulation control module includes the following steps:

[0032] S5-1, in response to the triggering cooling water flow adjustment instruction, the common flow adjustment module first adjusts the cooling water flow according to the output optimal cooling water flow J;

[0033] S5-2, the smooth flow regulation module obtains the monitoring temperature value W0 through the temperature sensing submodule, and compares the monitoring temperature value W0 with the temperature prediction value W;

[0034] S5-3, when |W0-W|>B, the judgment submodule determines that the smooth flow regulation module needs to intervene to smoothly adjust the cooling water flow strategy;

[0035] S5-4, according to the current extraction process, set the threshold u of temperature change;

[0036] S5-5, further retrieve the key stage of extraction output by the data processing module, if the current stage is marked as the mixed reaction stage of the extractant and the target component, then the cooling water flow rate corresponding to the temperature (W0+u) is taken as the new optimal cooling water flow rate J1;

[0037] If the current stage is marked as the stage where the extractant and the target component are fully in contact, the cooling water flow rate corresponding to W0 is taken as the new optimal cooling water flow rate J2;

[0038] If the current stage is marked as the stage where the reaction between the extractant and the target component weakens, the cooling water flow rate corresponding to (W0-u) is the new optimal cooling water flow rate J3.

[0039] Compared with the prior art, the present invention has the following beneficial effects: the present invention predicts temperature changes by observing the behavior of bubbles and adjusts the cooling water flow accordingly, which not only avoids the errors and delays that may be caused by directly monitoring the temperature, but also achieves more stable and accurate temperature control. At the same time, by smoothly adjusting the cooling water flow and the strategy of real-time feedback and adjustment, the pressure impact in the extraction tower can be reduced, and the stability and efficiency of the extraction process can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0041] In the attached picture:

[0042] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0043] 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.

[0044] See also Figure 1 The present invention provides a technical solution: an intelligent regulation and control system for comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry, including a bubble behavior collection module, a cooling water flow regulation and analysis module and a cooling water flow regulation and control module. The bubble behavior collection module is used to collect the behavior of bubbles in the extraction process during the extraction process of comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry. The cooling water flow regulation and analysis module is used to predict the temperature change of the liquid in the extraction process according to the collected bubble behavior and analyze the required cooling water flow. The cooling water flow regulation and control module is used to adjust the cooling water flow in advance according to the predicted temperature change. The bubble behavior collection module, the cooling water flow regulation and analysis module and the cooling water flow regulation and control module are connected in communication; by observing the bubble behavior to predict the temperature change and adjusting the cooling water flow accordingly, not only can the error and delay that may be caused by the direct temperature monitoring method be avoided, but also a more stable and accurate temperature control can be achieved. At the same time, by smoothly adjusting the cooling water flow and the strategy of real-time feedback and adjustment, the pressure impact in the extraction tower can be reduced, and the stability and efficiency of the extraction process can be improved.

[0045] The bubble behavior acquisition module includes a high-definition camera module, a feature recognition module, a contour fitting module, a continuous tracking module, a timing module and a counting module. The high-definition camera module is used to acquire images of bubbles during the extraction process in real time. The feature recognition module and the contour fitting module are both electrically connected to the high-definition camera module. The feature recognition module is used to perform feature recognition on the collected bubble images, the contour fitting module is used to perform contour fitting on the collected bubble images, the continuous tracking module is used to continuously track the identified bubble features and contours to generate a bubble behavior trajectory, the timing module is used to record the extraction process time, and the counting module is used to record the number of bubble features in the picture.

[0046] The cooling water flow regulation and analysis module includes a data processing module, a temperature change prediction module and an extraction history database module. The data processing module is used to process the data collected by the bubble behavior acquisition module to determine the key stage of extraction. The temperature change prediction module is used to predict the liquid temperature based on the bubble behavior data analysis. The extraction history database module is used to obtain the necessary parameters for prediction and analysis based on the historical big data in the extraction process of comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry, so as to determine the cooling water flow of the regulation target.

[0047] The cooling water flow regulation control module includes a common flow regulation module and a smooth flow regulation module. The common flow regulation module is suitable for triggering flow adjustment when the temperature prediction value exceeds the target temperature range, and the smooth flow regulation module is suitable for triggering the use of a smooth adjustment cooling water flow strategy when the temperature prediction value exceeds the target temperature range and reaches the standard for judging that a sharp change in cooling water flow may occur;

[0048] The smooth flow regulation module further includes a temperature sensing submodule and a judgment submodule. The temperature sensing submodule is used to sense the real-time temperature during the extraction process, and the judgment submodule is used to compare the sensed real-time temperature with the predicted temperature to determine whether there is a standard for regulating the cooling water flow rate with a sharp change.

[0049] The operation method of the intelligent regulation control system comprises the following steps:

[0050] S1. When the comprehensive recycling and reuse process of phenol-containing wastewater from coal chemical industry enters the extraction stage, the high-definition camera module is activated to collect high-definition images of the liquid in the extraction process. The bubble behavior collection module identifies the bubble behavior in the liquid based on the high-definition images. By observing the behavior of the bubbles, such as the number, size, and rising speed of the bubbles, the temperature change trend can be inferred. For example, when the number of bubbles increases, it may mean that the temperature is rising;

[0051] S2, inputting the bubble behavior identified by the bubble behavior acquisition module during the extraction process into the data processing module, processing the collected and identified data, thereby determining the key stage of the extraction; determining that the extraction stage in the comprehensive recovery and reuse process of phenol-containing wastewater in coal chemical industry can be further subdivided into different extraction subdivision stages;

[0052] S3, based on the identification of the bubble behavior during the extraction process and the judgment result of the extraction stage, the temperature change prediction module calculates the extraction temperature W;

[0053] S4. Establish an extraction history database, store the historical big data in the extraction process of comprehensive recovery and reuse of phenol-containing wastewater in the extraction history database, match the optimal cooling water flow J corresponding to the extraction temperature W in the extraction history database, and transmit the electrical signal to the cooling water flow regulation control module.

[0054] S5. When the cooling water flow adjustment instruction is triggered, the cooling water flow regulation control module controls the cooling water flow to be adjusted in advance, and when it is judged that the cooling water flow is about to change sharply, the smooth flow regulation module is started to implement the strategy of smoothly adjusting the cooling water flow; from bubble behavior collection to temperature change prediction, and then to cooling water flow regulation and control, comprehensive monitoring and intelligent regulation of the coal chemical phenol-containing wastewater extraction process is realized, which effectively improves the stability and efficiency of the process.

[0055] In step S1, the specific operation method of the bubble behavior acquisition module includes the following steps:

[0056] S1-1, using a high-definition camera module to collect images of bubbles in the extraction process in real time, and a feature recognition module to perform feature recognition on the bubble images to identify bubble features in the images;

[0057] S1-2, the contour fitting module further performs feature contour fitting on the features identified as bubbles, fits the bubble contour line, and outputs the diameter d of each bubble in combination with the collected image ratio. i , where i = 1, 2, ..., n;

[0058] S1-3, the continuous tracking module performs corresponding matching and tracking on the bubble features in the continuously collected and recognized images, thereby associating the continuously collected bubble images and generating the behavior trajectory of the bubble;

[0059] S1-4: The timing module is used to time the generated bubble behavior trajectory. When a bubble behavior trajectory is completely tracked, the timing module is used to time the generated bubble behavior trajectory according to the length of the complete trajectory l. i The timing module records the time t that the bubble completes the complete trajectory i , calculate the bubble rising speed Where i = 1, 2, ..., n;

[0060] S1-5: When the bubble features in the image are identified, the counting module counts the number n of bubbles identified in the image;

[0061] S1-6: By formula and Calculate the average rising speed of the bubbles identified at the current moment and the average diameter of the bubbles By collecting bubble images, identifying features, fitting contours, tracking trajectories and other steps in real time, the behavioral characteristics of bubbles, such as quantity, diameter, rising speed, etc., can be accurately obtained, providing a reliable data basis for subsequent temperature change predictions.

[0062] In step S2, the specific operation method of the data processing module includes the following steps:

[0063] S2-1, with the extraction process timing time as the horizontal axis, the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles The different dimension parameters on the vertical axis are averaged to establish a plane coordinate line graph;

[0064] S2-2, when the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles When both increase with time, the time period is marked and judged as the mixing reaction stage of the extractant and the target component in the extraction process, and the temperature prediction coefficient k1 is output;

[0065] S2-3, when the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles When there is a mixture of rising and falling over time, mark this time period and judge it as the stage in which the extractant and the target component are fully in contact during the extraction process, and output the temperature prediction coefficient k2;

[0066] S2-4, when the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles When both decrease with time, mark the time period and judge it as the stage where the reaction between the extractant and the target component weakens during the extraction process, and output the temperature prediction coefficient k3; by establishing a plane coordinate line graph and analyzing the changing trend of the bubble behavior characteristics over time, the key stage of the extraction process can be accurately judged, and the corresponding temperature prediction coefficient can be output, providing important reference information for temperature change prediction.

[0067] In step S3, the temperature change prediction module calculates the extraction temperature W using the following expression:

[0068]

[0069] According to the key stage of the extractant and the target component in the extraction process output by the current data processing module, k takes the value k1, k2 or k3; where α, β, and γ are the number of bubbles n, the average diameter of the bubbles, and and the average rising velocity of the bubbles Control parameters; t z It is the basic prediction cycle time preset by the system; it uses the bubble behavior characteristics and the key stage information of the extraction process to predict the extraction temperature through a specific calculation formula, fully considering factors such as the number of bubbles, average diameter, average rising speed, and retaining the trend prediction time under the same key stage of extraction, with high prediction accuracy and practicality.

[0070] In step S5, the specific operation method of the cooling water flow regulation control module includes the following steps:

[0071] S5-1, in response to the triggering cooling water flow adjustment instruction, the common flow adjustment module first adjusts the cooling water flow according to the output optimal cooling water flow J;

[0072] S5-2, the smooth flow regulation module obtains the monitoring temperature value W0 through the temperature sensing submodule, and compares the monitoring temperature value W0 with the temperature prediction value W;

[0073] S5-3, when |W0-W|>B, the judgment submodule determines that the smooth flow regulation module needs to intervene to smoothly adjust the cooling water flow strategy;

[0074] S5-4, according to the current extraction process, set the threshold u of temperature change;

[0075] S5-5, further retrieve the key stage of extraction output by the data processing module, if the current stage is marked as the mixed reaction stage of the extractant and the target component, then the cooling water flow rate corresponding to the temperature (W0+u) is taken as the new optimal cooling water flow rate J1;

[0076] If the current stage is marked as the stage where the extractant and the target component are fully in contact, the cooling water flow rate corresponding to W0 is taken as the new optimal cooling water flow rate J2;

[0077] If the current stage is marked as the stage of weakening reaction between the extractant and the target component, the cooling water flow corresponding to (W0-u) is the new optimal cooling water flow J3; after receiving the adjustment instruction, the cooling water flow adjustment control module first adjusts according to the predicted optimal cooling water flow, then determines whether smooth adjustment is required through temperature sensing and comparison, and finally sets the new optimal cooling water flow according to the key stage of the extraction process and the threshold of temperature change; because the method of predicting temperature change by observing the behavior of bubbles is adopted, the obtained temperature prediction value W not only considers the current state, but also incorporates potential delay factors such as adjustment instruction reflection, so it has a certain forward-looking nature. However, at some fast reaction moments, the liquid temperature changes very quickly, which may cause a large deviation between the predicted value W and the real-time monitored temperature value W0. If the cooling water flow is adjusted directly based on the predicted output optimal cooling water flow J, the pressure and temperature in the extraction tower may be greatly impacted due to the sharp flow change, thereby affecting the overall processing efficiency and equipment stability. Therefore, by adopting a strategy of smoothly adjusting the cooling water flow, the key stages of the extraction process are combined, and the adjustment is performed based on the monitored temperature value W0 and its allowed upper and lower thresholds of temperature fluctuation. For example, in the temperature rising stage, in order to smoothly adjust the cooling water flow, the system will first use W0 plus the threshold u as the initial adjustment input value, and gradually adjust to the optimal cooling water flow corresponding to the input value W, thereby achieving smooth and stable water flow regulation with minimal delay, thereby ensuring the smooth progress of the extraction process and the long-term stable operation of the equipment, and providing stable and reliable cooling support for the extraction process.

[0078] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0079] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent control system for comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry, characterized by: The intelligent regulation and control system includes a bubble behavior collection module, a cooling water flow regulation and analysis module and a cooling water flow regulation and control module. The bubble behavior collection module is used to collect the behavior of bubbles in the extraction process during the comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry. The cooling water flow regulation and analysis module is used to predict the liquid temperature change in the extraction process according to the collected bubble behavior and analyze the required cooling water flow. The cooling water flow regulation and control module is used to adjust the cooling water flow in advance according to the predicted temperature change. The bubble behavior collection module, the cooling water flow regulation and analysis module and the cooling water flow regulation and control module are communicatively connected.

2. The intelligent control system for comprehensive recovery and reuse of phenol-containing wastewater from coal chemical industry according to claim 1 is characterized in that: The bubble behavior acquisition module includes a high-definition camera module, a feature recognition module, a contour fitting module, a continuous tracking module, a timing module and a counting module. The high-definition camera module is used to collect images of bubbles during the extraction process in real time. The feature recognition module and the contour fitting module are both electrically connected to the high-definition camera module. The feature recognition module is used to perform feature recognition on the collected bubble images, and the contour fitting module is used to perform contour fitting on the collected bubble images. The continuous tracking module is used to continuously track the identified bubble features and contours to generate a bubble behavior trajectory. The timing module is used to record the extraction process time, and the counting module is used to record the number of bubble features in the picture.

3. The intelligent regulation and control system for comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry according to claim 1 is characterized in that: The cooling water flow regulation and analysis module includes a data processing module, a temperature change prediction module and an extraction history database module. The data processing module is used to process the data collected by the bubble behavior collection module to determine the key stage of extraction. The temperature change prediction module is used to predict the liquid temperature based on the bubble behavior data analysis. The extraction history database module is used to obtain the necessary parameters for prediction and analysis based on the historical big data in the extraction process of comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry, so as to determine the cooling water flow of the regulation target.

4. The intelligent control system for comprehensive recovery and reuse of phenol-containing wastewater from coal chemical industry according to claim 1 is characterized in that: The cooling water flow rate regulation control module includes a common flow rate regulation module and a smooth flow rate regulation module. The common flow rate regulation module is adapted to trigger flow rate adjustment when the temperature prediction value exceeds the target temperature range, and the smooth flow rate regulation module is adapted to trigger the use of a smooth adjustment cooling water flow rate strategy when the temperature prediction value exceeds the target temperature range and reaches the standard for judging that a sharp change in cooling water flow rate may occur; The smooth flow regulation module further includes a temperature sensing submodule and a judgment submodule. The temperature sensing submodule is used to sense the real-time temperature during the extraction process, and the judgment submodule is used to compare the sensed real-time temperature with the predicted temperature to determine whether there is a standard for regulating the cooling water flow rate with a sharp change.

5. The intelligent control system for comprehensive recovery and reuse of phenol-containing wastewater from coal chemical industry according to claim 1 is characterized in that: The operation method of the intelligent adjustment and control system comprises the following steps: S1. When the comprehensive recovery and reuse process of phenol-containing wastewater from coal chemical industry enters the extraction stage, the high-definition camera module is activated to collect high-definition images of the liquid in the extraction process, and the bubble behavior collection module identifies the bubble behavior in the liquid based on the high-definition images; S2, inputting the bubble behavior identified by the bubble behavior acquisition module during the extraction process into the data processing module, processing the collected and identified data, and thereby determining the key stage of the extraction; S3, based on the identification of the bubble behavior during the extraction process and the judgment result of the extraction stage, the temperature change prediction module calculates the extraction temperature W; S4, establish an extraction history database, store the historical big data in the extraction process of comprehensive recovery and reuse of phenol-containing wastewater in coal chemical industry into the extraction history database, match the optimal cooling water flow J corresponding to the extraction temperature W in the extraction history database, and transmit the electrical signal to the cooling water flow regulation control module; S5. When the cooling water flow adjustment instruction is triggered, the cooling water flow adjustment control module controls to adjust the cooling water flow in advance, and when it is determined that a sharp change in the cooling water flow is about to occur, the smoothing flow adjustment module is started to implement a strategy for smoothly adjusting the cooling water flow.

6. The intelligent control system for comprehensive recovery and reuse of phenol-containing wastewater from coal chemical industry according to claim 5 is characterized by: In the above step S1, the specific operation method of the bubble behavior acquisition module includes the following steps: S1-1, using a high-definition camera module to collect images of bubbles in the extraction process in real time, and a feature recognition module to perform feature recognition on the bubble images to identify bubble features in the images; S1-2, the contour fitting module further performs feature contour fitting on the features identified as bubbles, fits the bubble contour line, and outputs the diameter d of each bubble in combination with the collected image ratio. i , where i = 1, 2, ..., n; S1-3, the continuous tracking module performs corresponding matching and tracking on the bubble features in the continuously collected and recognized images, thereby associating the continuously collected bubble images and generating the behavior trajectory of the bubble; S1-4: The timing module is used to time the generated bubble behavior trajectory. When a bubble behavior trajectory is completely tracked, the timing module is used to time the generated bubble behavior trajectory according to the length of the complete trajectory l. i The timing module records the time t that the bubble completes the complete trajectory i , calculate the bubble rising speed Where i = 1, 2, ..., n; S1-5: When the bubble features in the image are identified, the counting module counts the number n of bubbles identified in the image; S1-6: By formula and Calculate the average rising speed of the bubbles identified at the current moment and the average diameter of the bubbles 7. The intelligent control system for comprehensive recovery and reuse of phenol-containing wastewater from coal chemical industry according to claim 5 is characterized by: In the above step S2, the specific operation method of the data processing module includes the following steps: S2-1, with the extraction process timing time as the horizontal axis, the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles The different dimension parameters on the vertical axis are averaged to establish a plane coordinate line graph; S2-2, when the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles When both increase with time, the time period is marked and judged as the mixing reaction stage of the extractant and the target component in the extraction process, and the temperature prediction coefficient k1 is output; S2-3, when the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles When there is a mixture of rising and falling over time, mark this time period and judge it as the stage in which the extractant and the target component are fully in contact during the extraction process, and output the temperature prediction coefficient k2; S2-4, when the number of bubbles n, the average diameter of the bubbles and the average rising velocity of the bubbles When both decrease with time, the time period is marked and judged as the stage where the reaction between the extractant and the target component weakens during the extraction process, and the temperature prediction coefficient k3 is output.

8. The intelligent regulation and control system for comprehensive recovery and reuse of phenol-containing wastewater from coal chemical industry according to claim 7 is characterized by: In the above step S3, the temperature change prediction module calculates the extraction temperature W using the following expression: According to the key stage of the extractant and the target component in the extraction process output by the current data processing module, k takes the value k1, k2 or k3; where α, β, and γ are the number of bubbles n, the average diameter of the bubbles, and and the average rising velocity of the bubbles Control parameters; t z The basic forecast cycle time preset for the system.

9. The intelligent control system for comprehensive recovery and reuse of phenol-containing wastewater from coal chemical industry according to claim 8, characterized in that: In the above step S5, the specific operation method of the cooling water flow regulation control module includes the following steps: S5-1, in response to the triggering cooling water flow adjustment instruction, the common flow adjustment module first adjusts the cooling water flow according to the output optimal cooling water flow J; S5-2, the smooth flow regulation module obtains the monitoring temperature value W0 through the temperature sensing submodule, and compares the monitoring temperature value W0 with the temperature prediction value W; S5-3, when |W0-W|>B, the judgment submodule determines that the smooth flow regulation module needs to intervene to smoothly adjust the cooling water flow strategy; S5-4, according to the current extraction process, set the threshold u of temperature change; S5-5, further retrieve the key stage of extraction output by the data processing module, if the current stage is marked as the mixed reaction stage of the extractant and the target component, then the cooling water flow rate corresponding to the temperature (W0+u) is taken as the new optimal cooling water flow rate J1; If the current stage is marked as the stage where the extractant and the target component are fully in contact, the cooling water flow rate corresponding to W0 is taken as the new optimal cooling water flow rate J2; If the current stage is marked as the stage where the reaction between the extractant and the target component weakens, the cooling water flow rate corresponding to (W0-u) is taken as the new optimal cooling water flow rate J3.

Images