A method and device for treating oily wastewater in a modular manner

Abstract

The application discloses a kind of modular oil-containing sewage processing method and processing device, it is related to sewage treatment related technical field, the method includes: connecting multiple oil-containing sewage treatment ports;Oil dispersion degree detection is carried out by multiple optical online detection probes;Multiple oil dispersion degree detection indexes are input into electric field intervention control module, obtain more than preset dispersion degree detection index threshold N oil-containing sewage treatment ports and activate corresponding N electric field reactor;Respectively, adaptive electric field intervention output analysis is carried out;Electric field intervention treatment is carried out using N electric field intervention control parameters.The technical problems that the dispersion state of oil in water cannot be accurately perceived in real time, real-time accurate regulation and control cannot be carried out according to the water quality, leading to low efficiency and high energy consumption of oil-containing sewage treatment in the prior art are solved, and the technical effects of realizing accurate on-demand electric field intervention control, improving the efficiency and adaptability of oil-containing sewage treatment and reducing energy consumption are achieved.

Description

Technical Field

[0001] This application relates to the field of wastewater treatment technology, specifically to a modular method and apparatus for treating oily wastewater. Background Technology

[0002] Oily wastewater is a major pollutant generated during industrial production processes such as petroleum extraction, refining, chemical processing, machinery manufacturing, and food processing. It typically exists in various forms, including floating oil, dispersed oil, and emulsified oil. Emulsified oil, in particular, with its small particle size and high stability, is difficult to separate by natural gravity sedimentation because its oil droplets form a double electric layer with the same charge on their surface. Oily wastewater treatment processes such as flotation, flocculation, and biological treatment are insufficiently adaptable to scenarios with large fluctuations in water quality and frequent changes in treatment volume. They struggle to make rapid and precise adjustments based on real-time changes in the oil content of the influent, easily leading to unstable treatment effects, excessive energy consumption, or overdosing of chemicals. This is especially problematic for modular production units with multiple locations and intermittent discharges, where centralized, large-scale treatment facilities cannot be established, thus affecting the efficiency, control accuracy, and operational energy consumption of oily wastewater treatment.

[0003] Therefore, current technologies suffer from the technical problems of difficulty in accurately sensing the dispersion state of oil in water in real time and the inability to make real-time and precise adjustments based on the quality of the influent, resulting in inefficient and energy-intensive treatment of oily wastewater. Summary of the Invention

[0004] This application provides a modular method and apparatus for treating oily wastewater, which solves the technical problems in the prior art, namely, the difficulty in accurately sensing the dispersion state of oil in water in real time and the inability to make real-time precise control based on the influent water quality, resulting in inefficient oily wastewater treatment and high energy consumption. It achieves the technical effects of realizing precise on-demand electric field intervention control, improving the efficiency and adaptability of oily wastewater treatment, and reducing energy consumption.

[0005] This application provides a modular method for treating oily wastewater. The method includes: connecting multiple oily wastewater treatment ports, wherein each oily wastewater treatment port is equipped with multiple online optical detection probes and multiple electric field reactors, and the multiple electric field reactors are modularly connected to an electric field intervention control module; detecting oil dispersion at the multiple oily wastewater treatment ports using the multiple online optical detection probes to obtain multiple oil dispersion detection indicators; inputting the multiple oil dispersion detection indicators into the electric field intervention control module to obtain N oily wastewater treatment ports with dispersion detection indicators greater than a preset threshold, activating the N electric field reactors corresponding to the N oily wastewater treatment ports, where N is an integer greater than or equal to 0; performing adaptive electric field intervention output analysis based on the N oil dispersion detection indicators corresponding to the N oily wastewater treatment ports to obtain N electric field intervention control parameters; and using the N electric field intervention control parameters to drive the N electric field reactors to perform electric field intervention treatment.

[0006] In a possible implementation, the modular oily wastewater treatment method further includes the following steps: the plurality of electric field reactors are modularly connected to an electric field intervention control module, wherein each electric field reactor includes an electrode pair consisting of a first electrode and a second electrode; the electric field intervention control module includes a plurality of intervention output channels, each of which corresponds to a plurality of DA-AC converters, and the electrode pairs of the corresponding electric field reactors are controlled by the plurality of DA-AC converters to perform electric field intervention treatment at each oily wastewater treatment port.

[0007] In a possible implementation, the modular oily wastewater treatment method further includes the following steps: constructing oil-free wastewater detection signal samples; acquiring multiple sets of real-time oily wastewater detection signals from the multiple online optical detection probes, wherein each set of real-time oily wastewater detection signals includes a scattered light detection signal and a transmitted light detection signal; analyzing the multiple sets of real-time oily wastewater detection signals with the oil-free wastewater detection signal samples to calculate the relative scattered light intensity and relative transmittance; and calculating multiple oil dispersion detection indicators corresponding to the multiple oily wastewater treatment ports using the ratio of the relative scattered light intensity and the relative transmittance.

[0008] In a possible implementation, the modular oily wastewater treatment method further performs the following processing: obtaining the continuous relative scattered light intensity and continuous relative transmittance within a preset time window; calculating and obtaining the continuous oil dispersion detection index for each oily wastewater treatment port using the continuous relative scattered light intensity and continuous relative transmittance; and outputting the continuous oil dispersion detection index after performing a moving average filter to obtain multiple oil dispersion detection indices.

[0009] In a possible implementation, the modular oily wastewater treatment method further performs the following steps: classifying the N oil dispersion detection indicators into levels to obtain N dispersion level identifiers; searching an electric field intervention strategy mapping library using the N dispersion level identifiers to obtain N matching electric field intervention strategies, wherein the electric field intervention strategy mapping library stores fields including dispersion level identifier, voltage amplitude, waveform type, duty cycle value, and intervention time; generating an initialization control parameter vector based on the N matching electric field intervention strategies; and adaptively optimizing the initialization control parameter vector with the preset dispersion detection indicator threshold as the intervention target to obtain N electric field intervention control parameters.

[0010] In a possible implementation, the modular oily wastewater treatment method further includes the following steps: obtaining N target control error vectors based on the preset dispersion detection index threshold; performing gradient descent calculation on the initialization control parameter vector by minimizing the N target control error vectors, updating and iterating the initialization control parameter vector based on the negative gradient direction according to a preset gradient descent step size until a preset number of iterations is reached, thereby obtaining N electric field intervention control parameters; sending the N electric field intervention control parameters to the corresponding intervention output channel, and controlling the electrode pairs of the corresponding electric field reactor through a DA-AC converter to perform electric field intervention treatment at each oily wastewater treatment port.

[0011] In a possible implementation, the modular oily wastewater treatment method further includes the following steps: detecting multiple interference factors at the multiple oily wastewater treatment ports, including oily wastewater flow rate, oily wastewater quality, and light intensity; establishing an interference influence prediction model between the multiple interference factors and the magnitude of the oil dispersion detection index; outputting an interference influence prediction index using the interference influence prediction model; and updating the multiple oil dispersion detection indices according to the interference influence prediction index to obtain updated multiple oil dispersion detection indices.

[0012] This application also provides a modular oily wastewater treatment device, comprising: a wastewater treatment port connection unit for connecting multiple oily wastewater treatment ports, wherein the multiple oily wastewater treatment ports are equipped with multiple online optical detection probes and multiple electric field reactors, and the multiple electric field reactors are modularly connected to an electric field intervention control module; an oil dispersion detection unit for detecting oil dispersion at the multiple oily wastewater treatment ports through the multiple online optical detection probes to obtain multiple oil dispersion detection indicators; an electric field reactor activation unit for inputting the multiple oil dispersion detection indicators into the electric field intervention control module to obtain N oily wastewater treatment ports with dispersion indicators greater than a preset threshold, and activating the N electric field reactors corresponding to the N oily wastewater treatment ports, where N is an integer greater than or equal to 0; an electric field intervention output analysis unit for performing adaptive electric field intervention output analysis based on the N oil dispersion detection indicators corresponding to the N oily wastewater treatment ports to obtain N electric field intervention control parameters; and an electric field intervention processing unit for driving the N electric field reactors to perform electric field intervention processing using the N electric field intervention control parameters.

[0013] This application proposes a modular method and apparatus for treating oily wastewater, which connects multiple oily wastewater treatment ports. Multiple online optical detection probes are used to detect oil dispersion. Multiple oil dispersion detection indicators are input into an electric field intervention control module to identify N oily wastewater treatment ports with dispersion detection indicators exceeding preset thresholds and activate the corresponding N electric field reactors. Adaptive electric field intervention output analysis is performed on each port. Electric field intervention processing is then performed using N electric field intervention control parameters. This solves the technical problems in existing technologies, such as the difficulty in accurately sensing the dispersion state of oil in water in real time and the inability to perform real-time precise control based on influent water quality, leading to inefficient and energy-intensive oily wastewater treatment. The proposed method achieves precise, on-demand electric field intervention control, improves the efficiency and adaptability of oily wastewater treatment, and reduces energy consumption. Attached Figure Description

[0014] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings of the embodiments of this disclosure will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the apparatus according to the embodiments of this application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0015] Figure 1 This is a schematic diagram of a modular oily wastewater treatment method provided in an embodiment of this application.

[0016] Figure 2The graph shows the changes in scattered light detection signal and transmitted light detection signal over time in a modular oily wastewater treatment method provided in this application embodiment.

[0017] Figure 3 A curve comparing the oil dispersion before and after electric field intervention in a modular oily wastewater treatment method provided in this application embodiment.

[0018] Figure 4 This is a schematic diagram of a modular oily wastewater treatment device provided in an embodiment of this application.

[0019] Explanation of reference numerals in the attached drawings: Wastewater treatment port connection unit 10, oil dispersion detection unit 20, electric field reactor activation unit 30, electric field intervention output analysis unit 40, electric field intervention treatment unit 50. Detailed Implementation

[0020] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below.

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] In the following description, references to "some embodiments" describe a subset of all possible embodiments. However, it is understood that "some embodiments" can be the same or different subsets of all possible embodiments and can be combined with each other without conflict. The terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to these processes, methods, products, or apparatuses. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.

[0023] This application provides a modular method for treating oily wastewater, such as... Figure 1 As shown, the method includes:

[0024] Step S100: Connect multiple oily wastewater treatment ports. Each oily wastewater treatment port is equipped with multiple online optical detection probes and multiple electric field reactors. The multiple electric field reactors are modularly connected to the electric field intervention control module.

[0025] Preferably, the oily wastewater treatment port refers to the physical interface or treatment node that connects to the oily wastewater. It may include multiple wastewater discharge points distributed in the factory or work area, and then connect to multiple oily wastewater treatment ports. Specifically, multiple oily wastewater treatment ports are equipped with multiple optical online detection probes and multiple electric field reactors. The optical online detection probes are optical sensors that are directly installed in the water flow pipes or treatment chambers to continuously detect the dispersion of wastewater flowing through the oily wastewater treatment port in real time, thereby obtaining raw data of oily wastewater reflecting the oil content and dispersion state. The electric field reactor refers to a treatment actuator equipped with electrode pairs. When energized, it generates a specific electric field in the oily wastewater to demulsify the emulsified oil droplets in the water, promote the aggregation and enrichment of oil droplets, and transform dispersed, difficult-to-treat small oil droplets into easily treatable large oil droplets. Multiple electric field reactors are modularly connected to the electric field intervention control module, which is a central processing unit, such as a programmable logic controller. All electric field reactors are connected to the electric field intervention control module through standardized interfaces. Each electric field reactor can be independently addressed and controlled by the electric field intervention control module. At the same time, the number of processing ports can be easily increased or decreased. It can also centrally receive detection data from all probes and centrally send control commands to all electric field reactors for management.

[0026] Furthermore, step S100 also includes modularly connecting the plurality of electric field reactors to the electric field intervention control module, wherein each electric field reactor includes an electrode pair consisting of a first electrode and a second electrode; the electric field intervention control module includes a plurality of intervention output channels, each of which corresponds to a plurality of DA-AC converters, and the electrode pairs of the corresponding electric field reactors are controlled by the plurality of DA-AC converters to perform electric field intervention treatment at each oily wastewater treatment port.

[0027] Preferably, each electric field reactor includes an electrode pair consisting of a first electrode and a second electrode, namely a positive electrode and a negative electrode, which establishes an electric field in the oily wastewater when a voltage is applied between the two electrodes. The electric field intervention control module includes multiple intervention output channels, meaning it integrates multiple independent, individually controllable intervention output channels. Each channel can be independently turned on, off, and have its parameters set. Each intervention output channel controls a unique electric field reactor and includes a corresponding DA-AC converter. Specifically, the DA-AC converter is a two-stage conversion device used for precise control. The DA digital-to-analog converter converts the digital control parameters generated by the electric field intervention control module's digital processor into a corresponding continuous analog voltage signal, which is a low DC control voltage. The AC converter is a power amplifier that receives the analog voltage signal and converts it into high-voltage AC. Multiple DA-AC converters then control the electrode pairs of the corresponding electric field reactors to perform electric field intervention treatment at each oily wastewater treatment port. This involves applying high-voltage AC to the electrode pairs of the corresponding electric field reactors to establish an electric field and achieve electric field intervention treatment, effectively demulsifying the oily wastewater flowing through the reactor.

[0028] Step S200: The multiple online optical detection probes are used to detect the oil dispersion of the multiple oily wastewater treatment ports, and multiple oil dispersion detection indicators are obtained.

[0029] Step S200 further includes step S210, constructing an oil-free wastewater detection signal sample; step S220, acquiring multiple sets of real-time oily wastewater detection signals from the multiple oily wastewater treatment ports through the multiple online optical detection probes, wherein each set of real-time oily wastewater detection signals includes a scattered light detection signal and a transmitted light detection signal; step S230, analyzing the multiple sets of real-time oily wastewater detection signals with the oil-free wastewater detection signal sample respectively, and calculating the relative scattered light intensity and relative transmittance; step S240, calculating multiple oil dispersion detection indicators corresponding to the multiple oily wastewater treatment ports using the ratio of the relative scattered light intensity and the relative transmittance.

[0030] Preferably, oil dispersion is detected at multiple oily wastewater treatment outlets. Specifically, an online optical detection probe is used to detect the base wastewater without oil, recording the scattered light detection signal and transmitted light detection signal under the baseline state. This serves as a sample of the oil-free wastewater detection signal, used to eliminate the inherent absorption and scattering effects of dissolved substances and suspended particles on light. Multiple online optical detection probes are then used to detect multiple oily wastewater treatment outlets, simultaneously acquiring scattered light and transmitted light detection signals. The scattered light detection signal refers to the light intensity detected by the online optical detection probe at a certain angle to the incident light. Oil droplets and other particles in the wastewater have a strong scattering effect on light, while absorption and attenuation are relatively weak. The scattered light detection signal is highly sensitive to the concentration and size of small particles, thus acquiring multiple sets of real-time oily wastewater detection signals. The transmitted light detection signal refers to the transmitted light intensity detected by the online optical detection probe in the direction of direct incident light, which is related to the overall turbidity of the wastewater and reflects the overall attenuation of light. The curves showing the changes of the scattered light detection signal and transmitted light detection signal monitored by the online optical detection probe over time are shown below. Figure 2 As shown, there are two sub-figures, one above the other, corresponding to the scattered light detection signal and the other to the transmitted light detection signal. The upper sub-figure represents the intensity of the light signal received by the optical online detection probe in the direction perpendicular to the incident light, which is extremely sensitive to oil droplets in the water. The lower sub-figure represents the ratio of the intensity of the transmitted light after the incident light passes through the water sample to the intensity of the incident light, reflecting the degree to which the light is weakened overall in the water.

[0031] Preferably, multiple sets of real-time detection signals of oily wastewater are compared and analyzed with oil-free wastewater detection signal samples. The ratio of the scattered light signal value of oily wastewater to the scattered light signal sample value of oil-free wastewater is calculated to determine the relative scattered light intensity. Then, the ratio of the transmitted light signal value of oily wastewater to the transmitted light signal sample value of oil-free wastewater is calculated to determine the relative transmittance. This eliminates the influence of common errors such as light source intensity fluctuations, detector sensitivity, and window contamination, and obtains optical detection results that reflect the changes in optical properties caused by the presence of oil droplets. Then, the ratio of relative scattered light intensity to relative transmittance is calculated and determined as the oil dispersibility detection index, which is used to effectively characterize the oil droplet dispersion state. When there are many oil droplets and small particle size in the wastewater, the scattered light is significantly enhanced, and the relative scattered light intensity increases. The transmitted light is weakened due to scattering and absorption, and the relative transmittance is small. At this time, the oil dispersibility detection index is large, that is, the oil droplet dispersion degree is high. Conversely, when there are few oil droplets and large particle size in the wastewater, light absorption and reflection are the main causes, and the scattering effect is weakened. At this time, the oil dispersibility detection index is small, that is, the oil droplet dispersion degree is low. Therefore, it can better highlight the emulsification and dispersion characteristics of oil droplets than using scattered light or transmittance alone, and has stronger anti-interference ability.

[0032] Furthermore, step S240 also includes step S241, obtaining the continuous relative scattered light intensity and continuous relative transmittance within a preset time window; step S242, using the continuous relative scattered light intensity and continuous relative transmittance to calculate and obtain the continuous oil dispersion detection index for each oily wastewater treatment port; step S243, performing a moving average filter on the continuous oil dispersion detection index and outputting it to obtain multiple oil dispersion detection indices.

[0033] Preferably, continuous relative scattered light intensity and continuous relative transmittance are acquired within a preset time window. The preset time window refers to a set period of time, such as the past 30 seconds or 1 minute. Continuous data, including continuous relative scattered light intensity and continuous relative transmittance, is continuously recorded within the preset time window. Then, for each set of continuous relative scattered light intensity and continuous relative transmittance collected synchronously within the preset time window, their ratios are calculated to obtain multiple oil dispersion detection indicators for each oily wastewater treatment port, thus forming continuous oil dispersion detection indicators to reflect the fluctuation of oil dispersion over time within the time window. Then, a moving average filtering algorithm is used to... The continuous oil dispersion detection index is filtered using a moving average. For each oil dispersion detection index, the arithmetic mean of its value and that of its preceding multiple adjacent oil dispersion detection indices is calculated and used as the filtered output value of that index. For example, using a 5-point moving average, the filtered value of the oil dispersion detection index at the 5th time point is (value at time 1 + value at time 2 + value at time 3 + value at time 4 + value at time 5) / 5. For the 6th time point, the average value of the oil dispersion detection indices from time 2 to time 6 is calculated, and so on, ultimately obtaining multiple oil dispersion detection indices corresponding to multiple oily wastewater treatment outlets.

[0034] Furthermore, step S200 also includes step S250, detecting multiple detection interference factors of the multiple oily wastewater treatment outlets, the multiple detection interference factors including oily wastewater flow rate, oily wastewater quality and light intensity; step S260, establishing an interference influence prediction model between the multiple detection interference factors and the magnitude of the oil dispersion detection index, and using the interference influence prediction model to output the interference influence prediction index; step S270, updating the multiple oil dispersion detection indexes according to the interference influence prediction indexes to obtain updated multiple oil dispersion detection indexes.

[0035] Preferably, while performing the main measurement using the online optical detection probe, other sensors are used to simultaneously collect multiple detection interference factors that may affect the accuracy of the optical measurement, including the flow rate of oily wastewater, the quality of oily wastewater, and light intensity. Specifically, the flow rate of oily wastewater is obtained through a flow meter, and changes in the flow rate may affect the distribution density and residence time of oil droplets in the measurement area, thereby affecting the signal intensity of scattered and transmitted light. The quality of oily wastewater is measured through pH meters, conductivity meters, etc. Changes in dissolved organic matter, suspended solids, and chemical substances in oily wastewater may alter the optical background characteristics of the wastewater itself, interfering with the accuracy of oil dispersion measurement. Light intensity refers to the ambient light intensity or the aging and attenuation of the probe's built-in light source; fluctuations in the light source intensity may directly lead to the proportional changes in the scattered and transmitted light signals.

[0036] Preferably, an interference influence prediction model is established based on historical experimental data and physical principles to predict the magnitude of multiple detection interference factors and the oil dispersion detection index. This model describes the degree of artificially high or low oil dispersion detection index when multiple detection interference factors change. For example, when the flow rate decreases by 30%, even if the oil concentration remains unchanged, the calculated oil dispersion detection index may be overestimated by about 3 to 5 units. Then, multiple detection interference factors detected in real time are input into the interference influence prediction model for analysis and prediction. That is, the current detected oily wastewater flow rate, oily wastewater quality, and light intensity are substituted into the interference influence prediction model to calculate and output the interference influence prediction index. This index is used to quantify the deviation of the detection interference factors on the oil dispersion detection index under the current environment. Finally, the multiple oil dispersion detection indices are updated according to the interference influence prediction index. That is, interference errors are subtracted or eliminated from the multiple oil dispersion detection indices to obtain the updated oil dispersion detection index, which reflects the accurate oil dispersion status after eliminating the influence of interference factors.

[0037] Step S300: Input the multiple oil dispersion detection indicators into the electric field intervention control module, obtain N oily wastewater treatment ports that are greater than the preset dispersion detection indicator threshold, and activate the N electric field reactors corresponding to the N oily wastewater treatment ports, where N is an integer greater than or equal to 0.

[0038] Preferably, multiple oil dispersion detection indicators are input into the electric field intervention control module, and these indicators are compared with preset dispersion detection indicator thresholds. The preset dispersion detection indicator thresholds are key parameters set in advance, representing the pollution warning line requiring the activation of the electric field reactor for treatment. If the oil dispersion detection indicators are lower than or equal to the preset thresholds, it indicates that the current oily wastewater does not require electric field intervention treatment. If the oil dispersion detection indicators are higher than the preset thresholds, it indicates that the current oily wastewater requires electric field intervention treatment. Then, N oily wastewater treatment ports with oil dispersion detection indicators greater than the preset thresholds are selected, where N is an integer greater than or equal to 0, representing the number of oily wastewater treatment ports. When N is 0, it indicates that the current oily wastewater does not require electric field intervention treatment; when N is a positive integer, it indicates that the current oily wastewater requires electric field intervention treatment. The N electric field reactors corresponding to the N oily wastewater treatment ports are activated to begin electric field demulsification treatment of the oily wastewater in their respective waterways. The remaining total number minus N electric field reactors remains static or dormant.

[0039] Step S400: Perform adaptive electric field intervention output analysis on the N oil dispersion detection indicators corresponding to the N oily wastewater treatment ports to obtain N electric field intervention control parameters.

[0040] Step S400 further includes step S410, classifying the N oil dispersion detection indicators into levels to obtain N dispersion level identifiers; step S420, using the N dispersion level identifiers to search in the electric field intervention strategy mapping library to obtain N matching electric field intervention strategies, wherein the electric field intervention strategy mapping library stores fields including dispersion level identifier, voltage amplitude, waveform type, duty cycle value, and intervention time; step S430, generating an initialization control parameter vector based on the N matching electric field intervention strategies; and step S440, adaptively optimizing the initialization control parameter vector with the preset dispersion detection indicator threshold as the intervention target to obtain N electric field intervention control parameters.

[0041] Preferably, adaptive electric field intervention output analysis is performed based on N oil dispersion detection indicators corresponding to N oily wastewater treatment outlets. Specifically, the N oil dispersion detection indicators are classified into discrete pollution levels, such as light pollution, moderate pollution, and heavy pollution. A unique dispersion level identifier is assigned to each oil dispersion detection indicator, representing a preliminary classification of the pollution level of the oily wastewater treatment outlet. The N dispersion level identifiers are then used to search an electric field intervention strategy mapping library. This library is an empirical database built based on historical oily wastewater electric field treatment results, with the dispersion level identifier as the primary key. Each record contains recommended treatment parameters corresponding to the dispersion level, including voltage amplitude, waveform type, duty cycle value, and intervention time. The voltage amplitude represents the electric field strength, the waveform type represents the electric field shape, and the duty cycle value represents the... The proportion of energization time within a pulse or square wave cycle, where intervention time represents the duration of electric field intervention. Then, empirical data matching the N dispersion level identifiers are retrieved from the electric field intervention strategy mapping library to determine the corresponding N matching electric field intervention strategies. The recommended treatment parameters included in these strategies are combined to construct a structured dataset, thus determining the initial control parameter vector. Finally, the initial control parameter vector is adaptively optimized using a preset dispersion detection index threshold as the intervention target. Using the preset dispersion detection index threshold as the intervention target means reducing the oil dispersion detection index of the treated wastewater to below the preset dispersion detection index threshold. That is, starting from the initial control parameter vector, the gradient descent optimization algorithm is used to fine-tune the recommended treatment parameters in the initial control parameter vector, ultimately generating N electric field intervention control parameters to ensure that oily wastewater is treated to meet standards through efficient and energy-saving precise control. For example, the electric field intervention output data for N=5 oily wastewater treatment ports simultaneously is shown in Table 1:

[0042] Table 1. Output data of electric field intervention for simultaneous treatment of N=5 oily wastewater treatment outlets.

[0043]

[0044] L, M, and H represent mild, moderate, and severe, respectively.

[0045] Furthermore, step S440 also includes step S441, obtaining N target control error vectors based on the preset dispersion detection index threshold; step S442, performing gradient descent calculation on the initialization control parameter vector by minimizing the N target control error vectors, updating and iterating the initialization control parameter vector based on the negative gradient direction according to a preset gradient descent step size until a preset number of iterations is reached, obtaining N electric field intervention control parameters; step S443, sending the N electric field intervention control parameters to the corresponding intervention output channel, and controlling the electrode pairs of the corresponding electric field reactor through the DA-AC converter to perform electric field intervention treatment at each oily wastewater treatment port.

[0046] Preferably, based on a preset dispersion detection index threshold, the error of each oily wastewater treatment port is calculated, i.e., the difference between the current dispersion detection index and the preset dispersion detection index threshold, and this difference is constructed as a target control error vector. Then, starting from the initialization control parameter vector, gradient descent calculation is performed by minimizing N target control error vectors. Specifically, the gradient direction of the error is determined by fine-tuning the initialization control parameters through simulation evaluation. If the gradient points in the direction of increasing error, its opposite negative gradient direction points in the direction of decreasing error. Then, the initialization control parameter vector is updated iteratively based on the negative gradient direction according to a preset gradient descent step size. This includes configuring parameter update rules, i.e., updating the control parameters to the initialization control parameters minus the product of the preset gradient descent step size and the negative gradient. The system sets key parameters based on historical oily wastewater treatment data to determine the adjustment range for each iteration. This iteration cycle continues until a preset number of iterations is reached. At this point, N electric field intervention control parameters are obtained, which are considered sufficiently optimized. Finally, these N electric field intervention control parameters are converted into digital commands and sent to the corresponding intervention output channels. The DA-AC converter in each intervention output channel receives these commands and converts them into corresponding high-voltage AC power, which is then applied to the electrode pairs of the corresponding electric field reactor. The DA-AC converter then controls the electrode pairs of the corresponding electric field reactor to generate an electric field for electric field demulsification treatment. Ultimately, the electric field intervention treatment at each oily wastewater treatment port is executed, thereby ensuring that the oily wastewater is treated to a state that just meets the standards with the lowest possible energy consumption, achieving the best balance between treatment effect and energy consumption.

[0047] Step S500: Use the N electric field intervention control parameters to drive the N electric field reactors to perform electric field intervention treatment.

[0048] Preferably, the electric field intervention control module uses N electric field intervention control parameters to drive N electric field reactors for electric field intervention treatment. Specifically, a DA-AC converter receives the corresponding electric field intervention control parameters, converts them into low-voltage analog control signals using a DA digital-to-analog converter, amplifies them through an AC converter to generate high-voltage, high-power AC current. The waveform, amplitude, frequency, and duty cycle of this AC current are precisely controlled by the electric field intervention control parameters. Then, the output high-voltage AC current is applied to the electrode pairs of the corresponding electric field reactors, establishing an electric field in the area where oily wastewater flows between the two electrodes. Emulsified oil droplets in the oily wastewater flowing through this electric field undergo demulsification and aggregation reactions under the action of the electric field, causing tiny oil droplets to aggregate into larger droplets, thereby achieving precise electric field intervention control, improving the efficiency and adaptability of oily wastewater treatment, and maximizing energy utilization efficiency. A comparison of oil dispersion before and after electric field intervention is shown below. Figure 3 As shown, the horizontal axis represents time as the oily wastewater sample progresses during treatment, reflecting the effect of electric field intervention over time. The vertical axis represents the dispersion index, indicating the degree of oil dispersion in the water. A larger value indicates a more dispersed oil particle distribution, which is less conducive to separation. A smaller value indicates a higher degree of oil aggregation, which is easier for subsequent separation. Before the electric field intervention, the dispersion remained relatively high or decreased slowly over time. After the electric field intervention, the dispersion decreased significantly over time, reflecting that the oil droplets were enriched by the electric field.

[0049] In the above text, refer to Figure 1 A modular method for treating oily wastewater according to an embodiment of the present invention is described in detail. Next, reference will be made to... Figure 4 A modular oily wastewater treatment apparatus according to an embodiment of the present invention is described.

[0050] A modular oily wastewater treatment device according to an embodiment of the present invention addresses the technical problems in the prior art, namely, the difficulty in accurately sensing the dispersion state of oil in water in real time and the inability to perform real-time precise control based on the influent water quality, resulting in inefficient oily wastewater treatment and high energy consumption. The device achieves the technical effects of precise on-demand electric field intervention control, improved oily wastewater treatment efficiency and adaptability, and reduced energy consumption. Figure 4 As shown, a modular oily wastewater treatment device includes: a wastewater treatment port connection unit 10, an oil dispersion detection unit 20, an electric field reactor activation unit 30, an electric field intervention output analysis unit 40, and an electric field intervention treatment unit 50.

[0051] A wastewater treatment port connection unit 10 is used to connect multiple oily wastewater treatment ports, each equipped with multiple online optical detection probes and multiple electric field reactors, which are modularly connected to an electric field intervention control module. An oil dispersion detection unit 20 is used to detect the oil dispersion of the multiple oily wastewater treatment ports using the multiple online optical detection probes, obtaining multiple oil dispersion detection indicators. An electric field reactor activation unit 30 is used to input the multiple oil dispersion detection indicators into the electric field intervention control module, identify N oily wastewater treatment ports with values ​​greater than a preset dispersion detection indicator threshold, and activate the N electric field reactors corresponding to the N oily wastewater treatment ports, where N is an integer greater than or equal to 0. An electric field intervention output analysis unit 40 is used to perform adaptive electric field intervention output analysis based on the N oil dispersion detection indicators corresponding to the N oily wastewater treatment ports, obtaining N electric field intervention control parameters. An electric field intervention processing unit 50 is used to drive the N electric field reactors to perform electric field intervention processing using the N electric field intervention control parameters.

[0052] The specific configuration of the wastewater treatment port connection unit 10 will be described in detail below. The wastewater treatment port connection unit 10 further includes: a modular connection between the plurality of electric field reactors and the electric field intervention control module, wherein each electric field reactor includes an electrode pair consisting of a first electrode and a second electrode; the electric field intervention control module includes multiple intervention output channels, each of which corresponds to a multiple DA-AC converter, which controls the electrode pair of the corresponding electric field reactor to perform electric field intervention treatment at each oily wastewater treatment port.

[0053] The specific configuration of the oil dispersibility detection unit 20 will be described in detail below. The oil dispersibility detection unit 20 further includes: constructing oil-free wastewater detection signal samples; acquiring multiple sets of real-time oil-containing wastewater detection signals from the multiple online optical detection probes, wherein each set of real-time oil-containing wastewater detection signals includes a scattered light detection signal and a transmitted light detection signal; analyzing the multiple sets of real-time oil-containing wastewater detection signals with the oil-free wastewater detection signal samples respectively, and calculating the relative scattered light intensity and relative transmittance; and calculating multiple oil dispersibility detection indicators corresponding to the multiple oil-containing wastewater treatment ports using the ratio of the relative scattered light intensity and the relative transmittance.

[0054] The specific configuration of the oil dispersibility detection unit 20 will be described in detail below. The oil dispersibility detection unit 20 further includes: acquiring the continuous relative scattered light intensity and continuous relative transmittance within a preset time window; calculating the continuous oil dispersibility detection index for each oily wastewater treatment port using the continuous relative scattered light intensity and continuous relative transmittance; and outputting the continuous oil dispersibility detection index after performing a moving average filter to obtain multiple oil dispersibility detection indices.

[0055] The specific configuration of the electric field intervention output analysis unit 40 will be described in detail below. The electric field intervention output analysis unit 40 further includes: classifying the N oil dispersion detection indicators into levels to obtain N dispersion level identifiers; using the N dispersion level identifiers to search in an electric field intervention strategy mapping library to obtain N matching electric field intervention strategies, wherein the electric field intervention strategy mapping library stores fields including dispersion level identifier, voltage amplitude, waveform type, duty cycle value, and intervention time; generating an initialization control parameter vector based on the N matching electric field intervention strategies; and adaptively optimizing the initialization control parameter vector with the preset dispersion detection indicator threshold as the intervention target to obtain N electric field intervention control parameters.

[0056] The specific configuration of the electric field intervention output analysis unit 40 will be described in detail below. The electric field intervention output analysis unit 40 further includes: obtaining N target control error vectors based on the preset dispersion detection index threshold; performing gradient descent calculation on the initialization control parameter vector by minimizing the N target control error vectors, updating and iterating the initialization control parameter vector based on the negative gradient direction according to a preset gradient descent step size until a preset number of iterations is reached, thereby obtaining N electric field intervention control parameters; and sending the N electric field intervention control parameters to the corresponding intervention output channel, controlling the electrode pairs of the corresponding electric field reactor through a DA-AC converter to perform electric field intervention treatment at each oily wastewater treatment port.

[0057] The specific configuration of the oil dispersibility detection unit 20 will be described in detail below. The oil dispersibility detection unit 20 further includes: detecting multiple interference factors at the multiple oily wastewater treatment ports, including oily wastewater flow rate, oily wastewater quality, and light intensity; establishing an interference influence prediction model between the multiple interference factors and the magnitude of the oil dispersibility detection index; outputting an interference influence prediction index using the interference influence prediction model; and updating the multiple oil dispersibility detection indexes according to the interference influence prediction indexes to obtain updated multiple oil dispersibility detection indexes.

[0058] The modular oily wastewater treatment device provided in this embodiment of the invention can execute the modular oily wastewater treatment method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0059] Although this application makes various references to certain modules in the apparatus according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not intended to limit the scope of protection of this invention.

[0060] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A modular method for treating oily wastewater, characterized in that, The method includes: Multiple oily wastewater treatment ports are connected, and the multiple oily wastewater treatment ports are equipped with multiple online optical detection probes and multiple electric field reactors. The multiple electric field reactors are modularly connected to the electric field intervention control module. The oil dispersion of the multiple oily wastewater treatment ports is detected by the multiple online optical detection probes to obtain multiple oil dispersion detection indicators; The multiple oil dispersion detection indicators are input into the electric field intervention control module to obtain N oily wastewater treatment ports that are greater than the preset dispersion detection indicator threshold, and to activate the N electric field reactors corresponding to the N oily wastewater treatment ports, where N is an integer greater than or equal to 0; Based on the N oil dispersion detection indicators corresponding to the N oily wastewater treatment ports, adaptive electric field intervention output analysis is performed to obtain N electric field intervention control parameters; The N electric field reactors are driven to perform electric field intervention treatment using the N electric field intervention control parameters; The method involves detecting the oil dispersion at multiple oily wastewater treatment ports using multiple online optical detection probes to obtain multiple oil dispersion indicators. Constructing oil-free wastewater detection signal samples; Multiple sets of real-time oily wastewater detection signals are acquired from the multiple online optical detection probes at the multiple oily wastewater treatment ports. Each set of real-time oily wastewater detection signals includes a scattered light detection signal and a transmitted light detection signal. The real-time detection signals of the multiple sets of oily wastewater were analyzed together with the detection signal samples of oil-free wastewater to calculate the relative scattered light intensity and relative transmittance. Multiple oil dispersion detection indicators corresponding to the multiple oily wastewater treatment ports are calculated using the ratio of the relative scattered light intensity to the relative transmittance. Specifically, adaptive electric field intervention output analysis is performed based on the N oil dispersion detection indicators corresponding to the N oily wastewater treatment ports to obtain N electric field intervention control parameters. The method includes: The N oil dispersibility detection indicators are classified into levels to obtain N dispersibility level labels; The N dispersion level identifiers are used to search the electric field intervention strategy mapping library to obtain N matching electric field intervention strategies. The electric field intervention strategy mapping library stores fields including dispersion level identifier, voltage amplitude, waveform type, duty cycle value, and intervention time. Generate an initialization control parameter vector based on the N matching electric field intervention strategies; Using the preset dispersion detection index threshold as the intervention target, the initial control parameter vector is adaptively optimized to obtain N electric field intervention control parameters; The method involves adaptively optimizing the initial control parameter vector using the preset dispersion detection index threshold as the intervention target to obtain N electric field intervention control parameters, including: N target control error vectors are obtained using the preset dispersion detection index threshold; The initial control parameter vector is calculated by minimizing the N target control error vectors and then updated and iterated based on the negative gradient direction according to the preset gradient descent step size until the preset number of iterations is reached, thereby obtaining N electric field intervention control parameters. The N electric field intervention control parameters are sent to the corresponding intervention output channels, and the electrode pairs of the corresponding electric field reactors are controlled by the DA-AC converter to perform electric field intervention treatment at each oily wastewater treatment port.

2. The modular method for treating oily wastewater as described in claim 1, characterized in that, The plurality of electric field reactors are modularly connected to the electric field intervention control module, wherein each electric field reactor includes an electrode pair consisting of a first electrode and a second electrode. The electric field intervention control module includes multiple intervention output channels, each corresponding to a multiple DA-AC converter. The multiple DA-AC converters control the electrode pairs of the corresponding electric field reactors to perform electric field intervention treatment at each oily wastewater treatment port.

3. The modular method for treating oily wastewater as described in claim 1, characterized in that, After calculating the relative scattered light intensity and relative transmittance, the method also includes: Obtain the continuous relative scattered light intensity and continuous relative transmittance within a preset time window; The continuous oil dispersion detection index for each oily wastewater treatment port is calculated using the continuous relative scattered light intensity and continuous relative transmittance. The continuous oil dispersion detection index is filtered by moving average and then output to obtain multiple oil dispersion detection indices.

4. The modular method for treating oily wastewater as described in claim 1, characterized in that, The method further includes detecting oil dispersion at multiple oily wastewater treatment ports using multiple online optical detection probes to obtain multiple oil dispersion indicators. Multiple detection interference factors are detected at the multiple oily wastewater treatment outlets, including oily wastewater flow rate, oily wastewater quality, and light intensity; Establish an interference influence prediction model for the multiple detection interference factors and the magnitude of the oil dispersion detection index, and use the interference influence prediction model to output the interference influence prediction index; The multiple oil dispersion detection indicators are updated according to the interference impact prediction index to obtain the updated multiple oil dispersion detection indicators.

5. A modular oily wastewater treatment device, characterized in that, The apparatus is used to implement a modular method for treating oily wastewater according to any one of claims 1 to 4, the apparatus comprising: A wastewater treatment port connection unit is used to connect multiple oily wastewater treatment ports. The multiple oily wastewater treatment ports are equipped with multiple online optical detection probes and multiple electric field reactors. The multiple electric field reactors are modularly connected to the electric field intervention control module. An oil dispersion detection unit is used to detect the oil dispersion of the multiple oily wastewater treatment ports through the multiple online optical detection probes, and to obtain multiple oil dispersion detection indicators. An electric field reactor activation unit is used to input the multiple oil dispersion detection indicators into the electric field intervention control module, obtain N oily wastewater treatment ports that are greater than the preset dispersion detection indicator threshold, and activate the N electric field reactors corresponding to the N oily wastewater treatment ports, where N is an integer greater than or equal to 0. The electric field intervention output analysis unit is used to perform adaptive electric field intervention output analysis based on the N oil dispersion detection indicators corresponding to the N oily wastewater treatment ports, and obtain N electric field intervention control parameters. An electric field intervention processing unit is used to drive the N electric field reactors to perform electric field intervention processing using the N electric field intervention control parameters.

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