A fat extraction system and control method
By using a sensor network and neural network model in the oil refining system, the heating jacket temperature, homogenization device speed, and ultrasonic oscillator are monitored and optimized in real time, solving the problems of impurity removal and quality improvement in waste oil refining, and achieving efficient oil-water separation and maximum resource utilization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHONGQING YUBANG NEW ENERGY TECH CO LTD
- Filing Date
- 2024-11-28
- Publication Date
- 2026-05-29
AI Technical Summary
Existing technologies for refining waste oils are insufficient in removing impurities and improving quality. Traditional equipment lacks dynamic adjustment capabilities, resulting in low product purity and refining efficiency.
An oil refining system is adopted, including a support frame, a homogenization tank, a layered tank, a lifting mechanism, a homogenization mechanism, and a control module. By combining a sensor network and a neural network model, the oil characteristics are monitored in real time and the heating jacket temperature, the homogenization device speed, and the ultrasonic oscillator are dynamically optimized to achieve efficient oil-water separation.
It improves the purity and refining efficiency of waste oil, enhances adaptability to oils from different sources, and has flexibility and robustness, thus optimizing the oil-water separation effect.
Smart Images

Figure CN122104345A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of clean energy, and specifically to an oil refining system and control method. Background Technology
[0002] Waste oil refers to waste oil generated in food processing, catering services, and industrial production, including kitchen waste oil, waste cooking oil, and industrial waste oil. Due to their complex composition and potential environmental hazards, direct disposal or improper treatment of these oils can pollute the ecological environment. Through appropriate refining and conversion, waste oil can be used as a raw material for biodiesel production. Biodiesel is a renewable and clean energy source based on oils, produced through transesterification. It has advantages such as low carbon emissions, environmental friendliness, and good biodegradability, and can partially replace petrochemical diesel in transportation, industrial fuel, and other fields. The efficient utilization of waste oil can not only reduce environmental pollution but also provide a sustainable solution to the energy shortage problem. The recycling and reuse of waste oil is gradually becoming an important research direction. However, due to the complex composition of waste oil raw materials, which often contain a large amount of impurities, moisture, and other unstable components, existing technologies show significant shortcomings in impurity removal and quality improvement. Furthermore, traditional homogenization and stratification equipment lacks the ability to dynamically adjust to the characteristics of the raw materials, making it difficult to adapt to the variable properties of waste oil, resulting in low product purity and refining efficiency. Therefore, to solve the above problems, it is necessary to… Summary of the Invention
[0003] To address the shortcomings of existing technologies, this invention proposes an oil refining system and control method. The specific technical solution of the oil refining system is as follows:
[0004] An oil refining system, characterized in that:
[0005] Includes support frame, homogenization tank, stratification tank, lifting mechanism, homogenization mechanism and control module;
[0006] The stratification tank is located inside the support frame, which supports the homogenization tank above the stratification tank. The homogenization tank is connected to the liquid inlet of the stratification tank through the discharge port at the bottom, and the homogenized grease enters the stratification tank.
[0007] The homogenization tank includes a tank top and a tank body. A raw material inlet and an auxiliary material inlet are provided at the upper part of the tank top, and a discharge outlet is provided at the bottom of the tank body.
[0008] A temperature sensor and a first liquid level sensor are installed inside the homogenization tank. The temperature sensor is used to monitor the temperature of the homogenized liquid, and the first liquid level sensor is used to provide real-time feedback on the liquid level inside the homogenization tank.
[0009] A second liquid level sensor is installed inside the stratified tank, and the second liquid level sensor is used to provide real-time feedback on the liquid level inside the stratified tank.
[0010] A lifting mechanism is connected to the support frame. The lifting end of the lifting mechanism is connected to the top of the tank. The homogenization mechanism is installed on the top of the tank, and the homogenization part of the homogenization mechanism extends into the homogenization tank.
[0011] The lifting mechanism is used to drive the homogenizing mechanism to stir evenly at different liquid layer positions, ensuring that the homogenization process is sufficient.
[0012] A filter screen is provided in the middle of the layered tank. The filter screen is used to divide the layered tank into a filtration chamber and a settling chamber. The filtration chamber has a liquid inlet at the top and a slag outlet at the bottom. The settling chamber has an oil outlet at the top and a water outlet at the bottom.
[0013] An oil phase concentration sensor is installed at the oil outlet, and an aqueous phase concentration sensor is installed at the water outlet. The concentration sensors are used to monitor the separation purity in real time and control the opening time of the oil outlet and water outlet valves in conjunction with the separation process.
[0014] The control module is electrically connected to the temperature sensor, the first liquid level sensor, the second liquid level sensor, the oil phase concentration sensor, and the water phase concentration sensor, respectively.
[0015] To better realize the present invention, it can be further:
[0016] A heating jacket is provided on the outer layer of the homogenization tank.
[0017] Furthermore, an ultrasonic oscillator is provided at the bottom of the outer wall of the stationary chamber.
[0018] Furthermore, the homogenization mechanism includes a base, a homogenization motor, a connecting shaft, and a homogenization assembly. The base is fixedly connected to the top of the tank, the homogenization motor is fixedly connected to the base, and the upper end of the connecting shaft is fixedly connected to the rotating end of the homogenization motor.
[0019] Furthermore: the homogenization component is connected to the lower end of the connecting shaft, and the homogenization component includes a homogenization rod and fins, with the fins being staggered along the axial direction of the homogenization rod.
[0020] Furthermore: a feature acquisition module and an intelligent analysis module are provided, the feature acquisition module and the intelligent analysis module are connected through a data bus, and the intelligent analysis module and the control module are connected through a data bus;
[0021] The feature acquisition module is used to collect the density, viscosity, composition, and temperature characteristics of oils in real time, and to collect data.
[0022] The intelligent analysis module is equipped with a neural network model, and the intelligent analysis module is used to generate target operation values based on the features of the feature acquisition module.
[0023] The control module automatically adjusts the homogenizing motor speed, the lifting mechanism's movement amplitude, the heating jacket power, and the ultrasonic oscillation intensity according to the target operating value.
[0024] The specific technology of a control method for an oil refining system is as follows:
[0025] A control method for an oil refining system, characterized in that:
[0026] S1: A feature acquisition module is installed at the raw material inlet of the homogenization tank. This feature acquisition module acquires the density characteristics, viscosity characteristics, component concentration characteristics, and temperature characteristics of the oil in real time through a sensor network.
[0027] S2: The data from the sensor network serves as the input to the intelligent module. The intelligent module employs a neural network model, which generates control parameters, including the target temperature of the heating jacket, the stirring speed of the homogenizing device, and the lifting depth.
[0028] S3: The intelligent module integrates the control parameters into instructions and sends them to the control module;
[0029] S4: The control module adjusts the target temperature of the heating jacket, the stirring speed and lifting depth of the homogenizing device, and the frequency of the ultrasonic oscillator according to the instructions.
[0030] S5: A temperature sensor and a first liquid level sensor are installed in the homogenization tank, wherein the temperature sensor is used to monitor the temperature of the homogenized liquid in real time, and the first liquid level sensor is used to provide feedback on the liquid level information in the tank.
[0031] S6: The control module receives signals from the temperature sensor and the first liquid level sensor, and adjusts the temperature of the heating jacket and the liquid level of the homogenizing tank in real time to ensure that the homogenized grease is at the set temperature and liquid level.
[0032] S7: The control module drives the homogenization component to uniformly stir at different liquid layer positions in the homogenization tank through the lifting mechanism to ensure that the homogenization reaction is sufficient.
[0033] S8: A filter screen is installed in the middle of the stratification tank to filter out solid impurities in the homogenized oil. The impurities in the filter chamber are removed by the filter screen, and the filtered liquid enters the settling chamber on the right side for oil-water stratification.
[0034] S9: The oil phase concentration sensor and the aqueous phase concentration sensor monitor the concentrations of the oil phase and aqueous phase in real time during the separation process and feed the concentration data back to the control module;
[0035] S10: The control module controls the valves of the oil outlet and water outlet in conjunction with the feedback signals from the oil phase concentration sensor and the water phase concentration sensor to adjust the opening time of oil and water discharge, so as to ensure the best oil-water separation effect.
[0036] To better realize the present invention, it can be further:
[0037] S1 specifically involves installing a feature acquisition module at the raw material inlet of the homogenization tank. This feature acquisition module uses a sensor network to collect the density ρ, viscosity μ, component concentration C, and temperature T in real time. The features collected by the sensor network are represented as a vector at time t.
[0038] D(t)=[ρ(t),μ(t),C1(t),C2(t),...,C n (t), T(t)]
[0039] The feature acquisition module normalizes the acquired raw data to fit the input range of the neural network, resulting in a normalized feature input vector x:
[0040] x = [x1, x2, ..., x] m ].
[0041] Further: S2 specifically involves the normalized feature input vector x serving as the input to the intelligent module, which employs a neural network model. This neural network model generates the control parameter y using the following method:
[0042]
[0043] Among them, W L Let L be the weight matrix of the Lth layer;
[0044] b L Let L be the bias vector of the Lth layer;
[0045] f is the activation function;
[0046] T t To heat the jacket to the target temperature;
[0047] v m The stirring speed of the homogenizing device;
[0048] d l The lifting depth of the homogenizing device;
[0049] f u This refers to the ultrasonic oscillation frequency;
[0050] x is the normalized eigenvector.
[0051] Further: S3 specifically involves the intelligent module integrating the output parameters into control command I, and the intelligent module sending control command I to the control module through a communication protocol.
[0052] The beneficial effects of this invention are as follows: The overall structure is simple. By employing a layered tank with a filter screen in the middle, it can efficiently filter solid impurities from waste oil. Combined with liquid level regulation, it achieves efficient oil-water separation, improving raw material purity from the source. By introducing a sensor network and neural network model, it collects the density, viscosity, component concentration, and temperature characteristics of waste oil in real time. Based on the intelligent analysis and generated control parameters, it precisely controls key process parameters such as the heating jacket temperature, the stirring speed of the homogenizing device, and the lifting depth, achieving dynamic optimization of the refining process. Simultaneously, this invention achieves multi-parameter linkage optimization through a control module, comprehensively regulating the heating jacket, homogenizing device, and ultrasonic oscillator. Combined with real-time monitoring of separation purity by oil and water phase concentration sensors, it automatically adjusts the opening time of the oil and water outlet valves to ensure optimal oil-water separation and maximize resource utilization. It enhances adaptability to waste oil from different sources, possessing excellent flexibility and robustness. Attached Figure Description
[0053] Figure 1 This is a structural diagram of the present invention;
[0054] Figure 2 This is a control block diagram of the present invention;
[0055] Figure 3 This is the control flowchart of the present invention;
[0056] The attached diagram shows the following components: 1. Support frame; 2. Tank top; 3. Lifting mechanism; 4. Tank body; 5. Heating jacket; 6. Base; 7. Homogenizing motor; 8. Connecting shaft; 9. Homogenizing rod; 10. Fins; 11. Raw material inlet; 12. Auxiliary material inlet; 13. Discharge outlet; 14. Layered tank; 15. Filter screen; 16. Filter chamber; 17. Settling chamber; 18. Liquid inlet; 19. Slag discharge outlet; 20. Oil outlet; 21. Water outlet. Detailed Implementation
[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0058] like Figure 1 and Figure 2 As shown:
[0059] An oil refining system includes a support frame 1, a homogenization tank, a layered tank 14, a lifting mechanism 3, a homogenization mechanism, a control module, a feature acquisition module, and an intelligent analysis module.
[0060] The feature acquisition module and the intelligent analysis module are connected via a data bus, and the intelligent analysis module and the control module are connected via a data bus.
[0061] The layered tank 14 is located inside the support frame 1. The support frame 1 is used to support the homogenizing tank above the layered tank 14. The homogenizing tank is connected to the liquid inlet 18 of the layered tank 14 through the discharge port 13 at the bottom. The homogenized oil enters the layered tank 14.
[0062] The homogenization tank includes a tank top 2 and a tank body 4, and a heating jacket 5 is provided on the outer layer of the homogenization tank.
[0063] A raw material inlet 11 and an auxiliary material inlet 12 are provided at the upper part of the top 2 of the tank, and a discharge outlet 13 is provided at the bottom of the tank body 4.
[0064] A temperature sensor and a first liquid level sensor are installed inside the homogenization tank. The temperature sensor is used to monitor the temperature of the homogenized liquid, and the first liquid level sensor is used to provide real-time feedback on the liquid level inside the homogenization tank.
[0065] A second liquid level sensor is installed inside the stratified tank 14, and the second liquid level sensor is used to provide real-time feedback on the liquid level inside the stratified tank 14.
[0066] A lifting mechanism 3 is connected to the support frame 1. The lifting end of the lifting mechanism 3 is connected to the tank top 2. The homogenizing mechanism is installed on the tank top 2. The homogenizing part of the homogenizing mechanism extends into the homogenizing tank.
[0067] The lifting mechanism 3 is used to drive the homogenizing mechanism to stir evenly at different liquid layer positions, ensuring that the homogenization process is sufficient.
[0068] Specifically, the homogenization mechanism includes a base 6, a homogenization motor 7, a connecting shaft 8, and a homogenization assembly. The base 6 is fixedly connected to the tank top 2, the homogenization motor 7 is fixedly connected to the base 6, and the upper end of the connecting shaft 8 is fixedly connected to the rotating end of the homogenization motor 7. The homogenization assembly is connected to the lower end of the connecting shaft 8, and the homogenization assembly includes a homogenization rod 9 and fins 10, with the fins 10 being staggered along the axial direction of the homogenization rod 9.
[0069] A filter screen 15 is provided in the middle of the layered tank 14. The filter screen 15 is used to divide the layered tank 14 into a filter chamber 16 and a settling chamber 17. An ultrasonic oscillator is provided in the settling chamber 17.
[0070] The filter chamber 16 has a liquid inlet 18 at the top and a slag outlet 19 at the bottom. The settling chamber 17 has an oil outlet 20 at the top and a water outlet 21 at the bottom.
[0071] An oil phase concentration sensor is installed at the oil outlet 20, and an aqueous phase concentration sensor is installed at the water outlet 21. The concentration sensors are used to monitor the separation purity in real time and control the opening time of the oil outlet and water outlet valves in conjunction with the separation process.
[0072] The feature acquisition module is used to collect the density, viscosity, composition, and temperature characteristics of oils in real time, and to collect data.
[0073] The intelligent analysis module is equipped with a neural network model, and the intelligent analysis module is used to generate target operation values based on the features of the feature acquisition module.
[0074] The control module automatically adjusts the speed of the homogenizing motor 7, the movement amplitude of the lifting mechanism 3, the power of the heating jacket 5, and the intensity of the ultrasonic oscillation according to the target operating value.
[0075] The control module is electrically connected to the temperature sensor, the first liquid level sensor, the second liquid level sensor, the oil phase concentration sensor, and the water phase concentration sensor, respectively.
[0076] The specific technology of a control method for an oil refining system is as follows:
[0077] A method for controlling an oil refining system includes the following steps:
[0078] S1: A feature acquisition module is installed at the raw material inlet of the homogenization tank. This feature acquisition module acquires the density characteristics, viscosity characteristics, component concentration characteristics, and temperature characteristics of the oil in real time through a sensor network.
[0079] Specifically: S1 involves a feature acquisition module installed at the raw material inlet of the homogenization tank. This feature acquisition module uses a sensor network to collect the density ρ, viscosity μ, component concentration C, and temperature T in real time. The features collected by the sensor network are represented as a vector at time t.
[0080] D(t)=[ρ(t),μ(t),C1(t),C2(t),...,C n (t), T(t)]
[0081] The feature acquisition module normalizes the acquired raw data to fit the input range of the neural network, resulting in a normalized feature input vector x:
[0082] x = [x1, x2, ..., x] m ]
[0083] S2: The data from the sensor network serves as the input to the intelligent module. The intelligent module employs a neural network model, which generates control parameters, including the target temperature of the heating jacket, the stirring speed of the homogenizing device, and the lifting depth.
[0084] The intelligent module employs a multilayer feedforward neural network (MLP), which is trained offline using historical process data and experimental data to form the optimal control model.
[0085] The neural network model includes an input layer, hidden layers, and an output layer.
[0086] The input layer is used to receive density, viscosity, component concentration, and temperature characteristics;
[0087] Hidden layers extract complex relationships between features using the ReLU non-linear activation function;
[0088] The output layer generates control parameters, including the target temperature of the heating jacket, the stirring speed of the homogenizing device, and the lifting depth.
[0089] S2 specifically involves the normalized feature input vector x serving as the input to the intelligent module. The intelligent module employs a neural network model, which generates the control parameter y using the following method:
[0090]
[0091] Among them, W L Let L be the weight matrix of the Lth layer;
[0092] b L Let L be the bias vector of the Lth layer;
[0093] f is the activation function;
[0094] T t To heat the jacket to the target temperature;
[0095] v m The stirring speed of the homogenizing device;
[0096] d l The lifting depth of the homogenizing device;
[0097] f u This refers to the ultrasonic oscillation frequency;
[0098] x is the normalized feature vector;
[0099] S3: The intelligent module integrates the output parameters into an instruction and sends it to the control module;
[0100] S3 specifically involves the intelligent module integrating the output parameters into control command I, and the intelligent module sending control command I to the control module via a communication protocol.
[0101] S4: The control module adjusts the target temperature of the heating jacket, the stirring speed and lifting depth of the homogenizing device, and the frequency of the ultrasonic oscillator according to the instructions.
[0102] The ultrasonic oscillator enhances the emulsification effect of the liquid in the homogenization tank by generating high-frequency vibrations of 20-40kHz, making the oil and water form a more stable dispersion system. In the stratification tank, the interfacial tension of the tiny emulsion particles is broken by controlling the oscillation intensity, thus promoting oil-water stratification.
[0103] S5: A temperature sensor and a first liquid level sensor are installed in the homogenization tank, wherein the temperature sensor is used to monitor the temperature of the homogenized liquid in real time, and the first liquid level sensor is used to provide feedback on the liquid level information in the tank.
[0104] S6: The control module receives signals from the temperature sensor and the first liquid level sensor, and adjusts and balances the temperature of the heating jacket and the liquid level of the homogenizing tank in real time to ensure that the homogenized grease is at the set temperature and liquid level.
[0105] S7: The control module drives the homogenization component to uniformly stir at different liquid layer positions in the homogenization tank through the lifting mechanism to ensure that the homogenization reaction is sufficient.
[0106] S8: A filter screen is installed in the middle of the stratification tank to filter out solid impurities in the homogenized oil. The impurities in the filter chamber are removed by the filter screen, and the filtered liquid enters the settling chamber on the right side for oil-water stratification.
[0107] S9: The oil phase concentration sensor and the aqueous phase concentration sensor monitor the concentrations of the oil phase and aqueous phase in real time during the separation process and feed the concentration data back to the control module;
[0108] S10: The control module controls the valves of the oil outlet and water outlet in conjunction with the feedback signals from the oil phase concentration sensor and the water phase concentration sensor to adjust the opening time of oil and water discharge, so as to ensure the best oil-water separation effect.
[0109] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.
[0110] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.
Claims
1. An oil refining system, characterized in that: Includes support frame, homogenization tank, stratification tank, lifting mechanism, homogenization mechanism and control module; The stratification tank is located inside the support frame, which supports the homogenization tank above the stratification tank. The homogenization tank is connected to the liquid inlet of the stratification tank through the discharge port at the bottom, and the homogenized grease enters the stratification tank. The homogenization tank includes a tank top and a tank body. A raw material inlet and an auxiliary material inlet are provided at the upper part of the tank top, and a discharge outlet is provided at the bottom of the tank body. A temperature sensor and a first liquid level sensor are installed inside the homogenization tank. The temperature sensor is used to monitor the temperature of the homogenized liquid, and the first liquid level sensor is used to provide real-time feedback on the liquid level inside the homogenization tank. A second liquid level sensor is installed inside the stratified tank, and the second liquid level sensor is used to provide real-time feedback on the liquid level inside the stratified tank. A lifting mechanism is connected to the support frame. The lifting end of the lifting mechanism is connected to the top of the tank. The homogenization mechanism is installed on the top of the tank, and the homogenization part of the homogenization mechanism extends into the homogenization tank. The lifting mechanism is used to drive the homogenizing mechanism to stir evenly at different liquid layer positions, ensuring that the homogenization process is sufficient. A filter screen is provided in the middle of the layered tank. The filter screen is used to divide the layered tank into a filtration chamber and a settling chamber. The filtration chamber has a liquid inlet at the top and a slag outlet at the bottom. The settling chamber has an oil outlet at the top and a water outlet at the bottom. An oil phase concentration sensor is installed at the oil outlet, and an aqueous phase concentration sensor is installed at the water outlet. The concentration sensors are used to monitor the separation purity in real time and control the opening time of the oil outlet and water outlet valves in conjunction with the separation process. The control module is electrically connected to the temperature sensor, the first liquid level sensor, the second liquid level sensor, the oil phase concentration sensor, and the water phase concentration sensor, respectively.
2. The oil refining system according to claim 1, characterized in that: A heating jacket is provided on the outer layer of the homogenization tank.
3. The oil refining system according to claim 2, characterized in that: An ultrasonic oscillator is installed at the bottom of the outer wall of the static chamber.
4. The oil refining system according to claim 3, characterized in that: The homogenization mechanism includes a base, a homogenization motor, a connecting shaft, and a homogenization assembly. The base is fixedly connected to the top of the tank, the homogenization motor is fixedly connected to the base, and the upper end of the connecting shaft is fixedly connected to the rotating end of the homogenization motor.
5. The oil refining system according to claim 4, characterized in that: The homogenization component is connected to the lower end of the connecting shaft. The homogenization component includes a homogenization rod and fins, and the fins are staggered along the axial direction of the homogenization rod.
6. The oil refining system according to claim 5, characterized in that: The system is equipped with a feature acquisition module and an intelligent analysis module. The feature acquisition module and the intelligent analysis module are connected via a data bus, and the intelligent analysis module is connected to the control module via a data bus. The feature acquisition module is used to collect the density, viscosity, composition, and temperature characteristics of oils in real time, and to collect data. The intelligent analysis module is equipped with a neural network model, and the intelligent analysis module is used to generate target operation values based on the features of the feature acquisition module. The control module automatically adjusts the homogenizing motor speed, the lifting mechanism's movement amplitude, the heating jacket power, and the ultrasonic oscillation intensity according to the target operating value.
7. The control method for an oil refining system according to claim 6, characterized in that: S1: A feature acquisition module is installed at the raw material inlet of the homogenization tank. This feature acquisition module acquires the density characteristics, viscosity characteristics, component concentration characteristics, and temperature characteristics of the oil in real time through a sensor network. S2: The data from the sensor network serves as the input to the intelligent module. The intelligent module employs a neural network model, which generates control parameters, including the target temperature of the heating jacket, the stirring speed of the homogenizing device, and the lifting depth. S3: The intelligent module integrates the control parameters into instructions and sends them to the control module; S4: The control module adjusts the target temperature of the heating jacket, the stirring speed and lifting depth of the homogenizing device, and the frequency of the ultrasonic oscillator according to the instructions. S5: A temperature sensor and a first liquid level sensor are installed in the homogenization tank, wherein the temperature sensor is used to monitor the temperature of the homogenized liquid in real time, and the first liquid level sensor is used to provide feedback on the liquid level information in the tank. S6: The control module receives signals from the temperature sensor and the first liquid level sensor, and adjusts the temperature of the heating jacket and the liquid level of the homogenizing tank in real time to ensure that the homogenized grease is at the set temperature and liquid level. S7: The control module drives the homogenization component to uniformly stir at different liquid layer positions in the homogenization tank through the lifting mechanism to ensure that the homogenization reaction is sufficient. S8: A filter screen is installed in the middle of the stratification tank to filter out solid impurities in the homogenized oil. The impurities in the filter chamber are removed by the filter screen, and the filtered liquid enters the settling chamber on the right side for oil-water stratification. S9: The oil phase concentration sensor and the aqueous phase concentration sensor monitor the concentrations of the oil phase and aqueous phase in real time during the separation process and feed the concentration data back to the control module; S10: The control module controls the valves of the oil outlet and water outlet in conjunction with the feedback signals from the oil phase concentration sensor and the water phase concentration sensor to adjust the opening time of oil and water discharge, so as to ensure the best oil-water separation effect.
8. The control method for an oil refining system according to claim 7, characterized in that: S1 specifically involves installing a feature acquisition module at the raw material inlet of the homogenization tank. This feature acquisition module uses a sensor network to collect the density ρ, viscosity μ, component concentration C, and temperature T in real time. The features collected by the sensor network are represented as a vector at time t. D(t)=[ρ(t),μ(t),C1(t),C2(t),...,C n (t),T(t)] The feature acquisition module normalizes the acquired raw data to fit the input range of the neural network, resulting in a normalized feature input vector x:
9. The control method for an oil refining system according to claim 8, characterized in that: S2 specifically involves the normalized feature input vector x serving as the input to the intelligent module. The intelligent module employs a neural network model, which generates the control parameter y using the following method: Among them, W L Let L be the weight matrix of the Lth layer; b L Let L be the bias vector of the Lth layer; f is the activation function; T t To heat the jacket to the target temperature; v m The stirring speed of the homogenizing device; d l The lifting depth of the homogenizing device; f u This refers to the ultrasonic oscillation frequency; x is the normalized eigenvector.
10. The control method for an oil refining system according to claim 9, characterized in that: S3 specifically involves the intelligent module integrating the output parameters into control command I, and the intelligent module sending control command I to the control module via a communication protocol.